Showing papers in "Journal of Biomolecular Structure & Dynamics in 2022"

Design, synthesis, molecular modeling, DFT, ADME and biological evaluation studies of some new 1,3,4-oxadiazole linked benzimidazoles as anticancer agents and aromatase inhibitors

Abstract: Breast cancer is the most frequent female cancer and second cause of cancer-related deaths among women around the world. Two thirds of breast cancer patients have hormone-dependent tumors, which is very likely be treated with hormonal therapy. Aromatase is involved in the biosynthesis of estrogen thus a critical target for breast cancer. In this study, in order to identify new aromatase enzyme inhibitors, a series of benzimidazole-1,3,4-oxadiazole derivatives were synthesized and characterized by 1H NMR, 13C NMR, and MS spectra analyses. In the in vitro anticancer assay, all the compounds tested anticancer activities using MTT-based assay against five cancer cell lines (MCF-7, A549, HeLa, C6, and HepG2). Among them, compound 5a exhibited the most potent activity with IC50 values of 5.165 ± 0.211 μM and 5.995 ± 0.264 μM against MCF-7 and HepG2 cell lines. Compound 5a was included in the BrdU test to determine the DNA synthesis inhibition effects for both cell types. Furthermore, compound 5c was also found to be more effective than doxorubicin on the HeLa cell line. The selectivity of anticancer activity was evaluated in NIH3T3 cell line. In vitro, enzymatic inhibition assays of aromatase enzyme were performed for compound 5a acting on the MCF-7 cell line. For compound 5a, in silico molecular docking and dynamics simulations against aromatase enzyme was performed to determine possible protein-ligand interactions and stability. DFT study was performed to evaluate the quantum mechanical and electronic properties of compound 5a. Finally, the theoretical ADME properties of the potential aromatase inhibitor compound 5a were analyzed by calculations.Communicated by Ramaswamy H. Sarma.

Synthesis, structural characterization, DFT calculations, molecular docking, and molecular dynamics simulations of a novel ferrocene derivative to unravel its potential antitumor activity

Abstract: Abstract In this article, we describe a set of subsequent five-steps chemical reactions to synthesize a ferrocene derivative named 1-(5-(diphenylphosphaneyl)cyclopenta-1,3-dien-1-yl)ethyl)imino)-1,3-dihydroisobenzofuran-5-yl)methanol (compound 10). Structural characterization of 10 and its intermediate products was also performed and reported to attest to their formation. A molecular docking study was performed to propose the novel synthesized ferrocene derivative (10) as a potential antitumor candidate targeting the mitogen-activated protein (MAP) kinases interacting kinase (Mnk) 1. The computed docking score of (10) at −9.50 kcal/mol compared to the native anticancer staurosporine at −8.72 kcal/mol postulated a promising anticancer activity. Also, molecular dynamics (MD) simulations were carried out for 500 ns followed by MM-GBSA-binding free energy calculations for both the docked complexes of ferrocene and staurosporine to give more deep insights into their dynamic behavior in physiological conditions. Furthermore, DFT calculations were performed to unravel some of the physiochemical characteristics of the ferrocene derivative (10). The quantum mechanics calculations shed the light on some of the structural and electrochemical configurations of (10) which would open the horizon for further investigation. Highlights The synthesis of a ferrocene derivative named 1-(5-(diphenylphosphaneyl)cyclopenta-1,3-dien-1-yl)ethyl)imino)-1,3-dihydroisobenzofuran-5-yl)methanol (compound 10) was described. Structural characterizations of ferrocene derivative (10) and its intermediate products were also performed. DFT calculations, molecular docking, molecular dynamics, and MM-GBSA calculations were carried out. Computational studies revealed the antitumor potential of ferrocene derivative (10) through targeting and inhibiting mitogen-activated protein (MAP) kinases interacting kinase (Mnk) 1. Communicated by Ramaswamy H. Sarma

Structural exploration of selected C6 and C7-substituted coumarin isomers as selective MAO-B inhibitors

Abstract: Abstract Monoamine Oxidase B is considered a successful target for developing antiparkinsonian drugs. Due to the side effects of current MAO-B inhibitors, there’s an urgent need for novel potent and highly selective MAO-B inhibitors. A recent study has shown that coumarins tend to be more selective towards MAO-B than MAO-A when connected to a hex-5-ynyloxy chain at position 6 in contrast to their C7-isomers. The present study describes the mode of interaction of the C6 and C7-substituted coumarin isomers characterized by their difference in selectivity towards MAO-B through molecular docking and molecular dynamics simulations in an effort to elucidate the structural components and molecular interactions that may be responsible for MAO-B selectivity. Three isomeric coumarin pairs connected to ether chain at position 6 or 7 were taken from the literature and modelled according to their IUPAC nomenclature. Molecular docking study revealed one π- π stacking interaction with Tyr-326 in common between the selective coumarin C6-isomers. Resulting complexes of one isomeric coumarin pair that displayed the highest selectivity shift towards MAO-B were subject to 100 ns molecular dynamics simulations study to analyze the stability of the docked complexes. Molecular dynamics revealed that the C7-isomer is relatively stable in both MAO isoforms through the simulation duration, whereas the C6-isomer deemed unstable for MAO-A which may be due to the bulky Phe-208 residue in MAO-A. Our results might be applied for further development and optimization of coumarin derivatives into a successful drug against Parkinson’s disease. Communicated by Ramaswamy H. Sarma

Molecular modelling and structure-activity relationship of a natural derivative of o-hydroxybenzoate as a potent inhibitor of dual NSP3 and NSP12 of SARS-CoV-2: in silico study

Abstract: Abstract The nsp3 macrodomain and nsp12 (RdRp) enzymes are strongly implicated in the virulent regulation of the host immune response and viral replication of SARS-CoV-2, making them plausible therapeutic targets for mitigating infectivity. Remdesivir remains the only FDA-approved small-molecule inhibitor of the nsp12 in clinical conditions while none has been approved yet for the nsp3 macrodomain. In this study, 69,067 natural compounds from the IBScreen database were screened for efficacious potentials with mechanistic multitarget-directed inhibitory pharmacology against the dual targets using in silico approaches. Standard and extra precision (SP and XP) Maestro glide docking analyses were employed to evaluate their inhibitory interactions against the enzymes. Four compounds, STOCK1N-45901, 03804, 83408, 08377 consistently showed high XP scores against the respective targets and interacted strongly with pharmacologically essential amino acid and RNA residues, in better terms than the standard, co-crystallized inhibitors, GS-441524 and remdesivir. Further assessments through the predictions of ADMET and mutagenicity distinguished STOCK1N-45901, a natural derivative of o-hydroxybenzoate as the most promising candidate. The ligand maintained a good conformational and thermodynamic stability in complex with the enzymes throughout the trajectories of 100 ns molecular dynamics, indicated by RMSD, RMSF and radius of gyration plots. Its binding free energy, MM-GBSA was recorded as –54.24 and –31.77 kcal/mol against the respective enzyme, while its structure-activity relationships confer high probabilities as active antiviral, anti-inflammatory, antiinfection, antitussive and peroxidase inhibitor. The IBScreen database natural product, STOCK1N-45901 (2,3,4,5,6-pentahydroxyhexyl o-hydroxybenzoate) is thus recommended as a potent inhibitor of dual nsp3 and nsp12 of SARS-CoV-2 for further study. Communicated by Ramaswamy H. Sarma

Molecular dynamics simulation and pharmacokinetics studies of ombuin and quercetin against human pancreatic α-amylase.

Abstract: Diabetes mellitus (DM) is a group of metabolic disorders characterised by chronic hyperglycaemia. DM is currently one of the top ten causes of death in humans. Chronic hyperglycaemia in DM leads to long-term damage and failure of different organs in the body. Type 2 DM (T2D) is the most common DM form, characterised by peripheral insulin resistance, relative insulin deficiency, impaired hepatic glucose production regulation and pancreatic β cell dysfunction. The human pancreatic α-amylase (HPA) inhibitor is currently one of the most effective methods developed to inhibit hyperglycaemia in T2D patients. However, the current standard drug available, acarbose, has been associated with severe side effects following prolonged use in patients. Therefore, an alternative drug capable of effectively inhibiting HPA with minimal side effects is required. Based on our previous study, we further explored the therapeutic potential of quercetin and ombuin via molecular dynamics (MD) simulation. The Desmond Simulation Package was used to run 100-ns MD simulations to examine the steady nature and conformational stability of the ligand-HPA complexes. Post-simulation molecular mechanics-generalised born surface area (MM-GBSA) analysis of HPA's binding free energy with quercetin and ombuin was explored. The lead compounds' drug-likeness, absorption, distribution, metabolism and elimination properties were also studied using the SwissADME tool. These results indicate that quercetin and ombuin have great potential as anti-DM drugs with more favourable properties than acarbose.Communicated by Ramaswamy H. Sarma.

Identification of novel peptide inhibitors for the KRas-G12C variant to prevent oncogenic signaling.

Abstract: Kirsten rat sarcoma viral oncogene homolog (KRas) activating mutations are common in solid tumors, accounting for 90%, 45%, and 35% of pancreatic, colorectal, and lung cancers (LC), respectively. Each year, nearly 150k new cases (both men and women) of KRas-mutated malignancies are reported in the United States. NSCLC (non-small cell lung cancer) accounts for 80% of all LC cases. KRas mutations are found in 15% to 25% of NSCLC patients. The main cause of NSCLC is the KRas-G12C mutation. The drugs Sotorasib and Adagrasib were recently developed to treat advanced NSCLC caused by the KRas-G12C mutation. Most patients do not respond to KRas-G12C inhibitors due to cellular, molecular, and genetic resistance. Because of their safety, efficacy, and selectivity, peptide inhibitors have the potential to treat newly developing KRas mutations. Based on the KRas mutations, peptide inhibitors that are highly selective and specific to individual lung cancers can be rationally designed. The current study uses an alanine and residue scanning approach to design peptide inhibitors for KRas-G12C based on the known peptide. Our findings show that substitution of F3K, G11T, L8C, T14C, K13D, G11S, and G11P considerably enhances the binding affinity of the novel peptides, whereas F3K, G11T, L8C, and T14C peptides have higher stability and favorable binding to the altered peptides. Overall, our study paves the road for the development of potential therapeutic peptidomimetics that target the KRas-G12C complex and may inhibit the KRas and SOS complex from interacting.Communicated by Ramaswamy H. Sarma.

Identification of potential mutational hotspots in serratiopeptidase to address its poor pH tolerance issue.

Abstract: Serratiopeptidase is the multifunctionality metalloendopeptidase extensively employed in biopharmaceutical and industrial biotechnology. Despite its poor pH tolerance, serratiopeptidase must withstand the highly acidic environment of the gastrointestinal tract to be used as a potent anti-inflammatory and analgesic medication. In earlier studies, post-translational deamination related mutations showed alteration in the net charge of protein's surface. Therefore, the current study aimed to enhance the acid resistance of serratiopeptidase via implementing computational interventions to screen out the most stable mutational hotspot. The methodology used in this study is as follows: (a) Higher accessibility to surface (b) 4 Å away from active site region to avoid interference with its proteolytic activity, and (c) By converting non-conserved amide residues to acidic residues. A docking study has been conducted to establish the substrate specificity and binding affinity to native and mutant proteins. The docking outcomes were then validated using molecular dynamic simulations to clarify each mutant's molecular stability and conformation while preserving their activity. The results showed that N412D is the best-screened mutant with negative electrostatic potential that can alter the overall charge on the protein's surface with increased H+ ions. Alteration in overall charge leads to protein surface more acidic that causes a common ion effect in stomach pH and act as a buffer which could stabilize the serratiopeptidase amid extreme pH. Communicated by Ramaswamy H. Sarma.

High throughput virtual screening and molecular dynamics simulation analysis of phytomolecules against BfmR of Acinetobacter baumannii: anti-virulent drug development campaign

Abstract: Abstract Acinetobacter baumannii is a notorious multidrug resistant bacterium responsible for several hospital acquired infections assisted by its capacity to develop biofilms. A. baumannii BfmR (RstA), a response regulator from the BfmR/S two-component signal transduction system, is the major controller of A. baumannii biofilm development and formation. As a result, BfmR represents a novel target for anti-biofilm treatment against A. baumannii. The discovery of the high-resolution crystal structure of BfmR provides a good chance for computational screening of its probable inhibitors. Therefore, in this study we aim to search new, less toxic, and natural BfmR inhibitors from 8450 phytomolecules available in the Indian Medicinal Plants, Phytochemistry and Therapeutic (IMPPAT) database by analyzing molecular docking against BfmR (PDB ID: 6BR7). Out of these 8450 phytomolecules 6742 molecules were successfully docked with BfmR with the docking score range −6.305 kcal/mol to +5.120 kcal/mol. Structure based-molecular docking (SB-MD) and ADMET (absorption, distribution, metabolism, excretion, & toxicity) profile examination revealed that Norepinephrine, Australine, Calystegine B3, 7,7 A-Diepialexine, and Alpha-Methylnoradrenaline phytocompounds strongly binds to the active site residues of BfmR. Furthermore, molecular dynamics simulation (MDS) studies for 100 ns and the binding free energy (MM/GBSA) analysis elucidated the binding mechanism of Calystegine B3, 7,7 A-Diepialexine, and Alpha-Methylnoradrenaline to BfmR. In summary, these phytocompounds seems to have the promising molecules against BfmR, and thus necessitates further verification by both in vitro and in vivo experiments. Highlights BfmR plays a key role in biofilm development and exopolysaccharide (EPS) synthesis in A. baumannii. Computational approach to search for promising BfmR inhibitors from IMPAAT database. The lead phytomolecules such as Calystegine B3, 7,7 A-Diepialexine, and Alpha-Methylnoradrenaline displayed significant binding with BfmR active site. The outcome of BfmR binding phytomolecules has broadened the scope of hit molecules validation. Communicated by Ramaswamy H. Sarma

Predictive modeling and therapeutic repurposing of natural compounds against the receptor-binding domain of SARS-CoV-2

Abstract: Abstract Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is a member of the Coronaviridae family, causing major destructions to human life directly and indirectly to the economic crisis around the world. Although there is significant reporting on the whole genome sequences and updated data for the different receptors are widely analyzed and screened to find a proper medication. Only a few bioassay experiments were completed against SARS-CoV-2 spike protein. We collected the compounds dataset from the PubChem Bioassay database having 1786 compounds and split it into the ratio of 80–20% for model training and testing purposes, respectively. Initially, we have created 11 models and validated them using a fivefold validation strategy. The hybrid consensus model shows a predictive accuracy of 95.5% for training and 94% for the test dataset. The model was applied to screen a virtual chemical library of Natural products of 2598 compounds. Our consensus model has successfully identified 75 compounds with an accuracy range of 70–100% as active compounds against SARS-CoV-2 RBD protein. The output of ML data (75 compounds) was taken for the molecular docking and dynamics simulation studies. In the complete analysis, the Epirubicin and Daunorubicin have shown the docking score of −9.937 and −9.812, respectively, and performed well in the molecular dynamics simulation studies. Also, Pirarubicin, an analogue of anthracycline, has widely been used due to its lower cardiotoxicity. It shows the docking score of −9.658, which also performed well during the complete analysis. Hence, after the following comprehensive pipeline-based study, these drugs can be further tested in vivo for further human utilization. Communicated by Ramaswamy H. Sarma

Artificial intelligence (AI) in Monkeypox infection prevention

Abstract: Abstract Monkeypox is a possible public health concern that requires appropriate attention in order to prevent the spread of the disease. Currently, artificial intelligence (AI) is making a significant impact on precision medicine, reshaping and integrating the large amount of data derived from multiomics analyses and revolutionizing the deep-learning strategies. There has been a significant progress in the use of AI to detect, screen, diagnose, and classify diseases, characterize virus genomes, assess biomarkers for prognostic and predictive purposes, and develop follow-up strategies. Hence, it is possible to use AI for the identification of disease clusters, cases monitoring, forecasting the future outbreak, determining mortality risk, diagnosing, managing, and identifying patterns for studying disease trends. AI may also be utilized to assist gene therapy and other therapies that we are not currently able to use in healthcare. It is possible to combine pharmacology and gene therapy with regenerative medicine with the help of AI. It will directly benefit the public in overcoming fear and panic of health risks. Therefore, AI can be an effective weapon to fight against Monkeypox infection, and may prove to be an invaluable future tool in improving the clinical management of patients. Key Points: Emergence and spread of the Monkeypox virus is a new public health crisis; threatening the world. This opinion piece highlights the urgently required information for immediate delivery of solutions on controlling and monitoring the spread of Monkeypox infection through Artificial Intelligence

Design, synthesis and molecular docking and ADME studies of novel hydrazone derivatives for AChE inhibitory, BBB permeability and antioxidant effects.

Abstract: Alzheimer's disease (AD) is a progressive and fatal neurodegenerative disease that is characterized by memory and cognitive impairments that predominantly affects the elderly and is the most common cause of dementia. As is known, the AChE enzyme consists of two parts. In this work, 10 new hydrazones (3a-3j) were designed and synthesized. Naphthalene, indole, benzofuran and benzothiophene rings were used to interact with the PAS region. 4-fluorophenyl and 4-fluorobenzyl structures were preferred for interaction with the CAS region. In biological activity studies, the AChE and BChE inhibitory potentials of all compounds were evaluated using the in vitro Ellman method. The biological evaluation showed that compounds 3i and 3j displayed significant activity against AChE. The compounds 3i and 3j displayed IC50 values of 0.034 and 0.027 µM against AChE, respectively. The reference drug donepezil (IC50 = 0.021 µM) also displayed a significant inhibition against AChE. In addition, the antioxidant activities of the compounds were also evaluated. Derivatives 3i and 3j, which emerged active from both in vitro activity studies, were subjected to in vitro PAMPA tests to determine BBB permeability. Further docking simulation also revealed that these compounds (3i, 3j and donepezil) interacted with the enzyme active site in a similar manner to donepezil. A few parameters derived from MD simulation trajectories were computed and validated for the protein-ligand complex's stability under the dynamic conditions.Communicated by Ramaswamy H. Sarma.

An integrative reverse vaccinology, immunoinformatic, docking and simulation approaches towards designing of multi-epitopes based vaccine against monkeypox virus

Abstract: Abstract Monkeypox is a viral zoonotic disease that is caused by the monkeypox virus (MPXV) and is mainly transmitted to human through close contact with an infected person, animal, or fomites which is contaminated by the virus. In the present research work, reverse vaccinology and several other bioinformatics and immunoinformatics tools were utilized to design multi-epitopes-based vaccine against MPXV by exploring three probable antigenic extracellular proteins: cupin domain-containing protein, ABC transporter ATP-binding protein and DUF192 domain-containing protein. Both cellular and humoral immunity induction were the main concerning qualities of the vaccine construct, hence from selected proteins both B and T-cells epitopes were predicted. Antigenicity, allergenicity, toxicity, and water solubility of the predicted epitopes were assessed and only probable antigenic, non-allergic, non-toxic and good water-soluble epitopes were used in the multi-epitopes vaccine construct. The developed vaccine was found to be potentially effective against MPXV and to be highly immunogenic, cytokine-producing, antigenic, non-toxic, non-allergenic, and stable. Additionally, to increase stability and expression efficiency in the host E. coli, disulfide engineering, codon adaptation, and in silico cloning were employed. Molecular docking and other biophysical approaches were utilized to evaluate the binding mode and dynamic behavior of the vaccine construct with TLR-2, TLR-4, and TLR-8. The outcomes of the immune simulation demonstrated that both B and T cells responded more strongly to the vaccination component. The detailed in silico analysis concludes that the proposed vaccine will induce a strong immune response against MPXV infection, making it a promising target for additional experimental trials. Communicated by Ramaswamy H. Sarma

Chemical profiling, cytotoxic activities through apoptosis induction in human fibrosarcoma and carcinoma cells, and molecular docking of some 1,2,3-triazole-isoxazoline hybrids using the eugenol as a precursors

Abstract: Abstract In this research paper, we report the cytotoxic and apoptotic effects of 1,2,3-triazole derivatives in a unique 7a–g or hybrid form with isoxazoline 8a–g using the eugenol as a precursor in HT-1080 fibrosarcoma, MCF-7, and MDA-MB-231 breast carcinoma, and A-549 lung carcinoma. Data obtained on the cytotoxic effects have shown that hybrid compounds 8a–e induced a significant anticancer activity and are more important than the ones of 1,2,3-triazole derivatives 7a–g with IC50 ranging from 18 to 43 μM for the hybrids 8a–e and from 15 to 29 μM for mono-adducts 7a–g in all cell lines. Concerning the apoptotic study, compounds 7b and 8a can induce apoptosis in HT-1080 and A-549 cells as revealed by Annexin-V labeling and caspase-3/7 activity, also, the apoptotic effect was accompanied by cell cycle arrest at G2/M phase in the case of compounds 7b and 8a. Both compounds were evaluated in-silico through molecular docking and molecular dynamics and compound 8a is very active against Bcl-2 protein triggering apoptosis phenomenon by intrinsic pathway, therefore compound 8a is a potential candidate to inhibit the anti-apoptotic protein (Bcl-2). Communicated by Ramaswamy H. Sarma.

Discovery of new 1,4-disubstituted 1,2,3-triazoles: in silico ADME profiling, molecular docking and biological evaluation studies

Abstract: Abstract In this work, eight new 1,2,3-triazoles (6a–h) were synthesized from acetylenes’ “click” reaction with p-substituted azide derivatives. The structures of the compounds were characterized using standard analytical and spectroscopic methods (elemental analysis, FT-IR, 1H(13C)NMR). The anticancer, antioxidant, α-amylase, ADME, molecular docking studies of synthesized triazoles were investigated. According to α -amylase enzyme inhibition results, all compounds except 6c (IC50: 2299 μg/mL) were found to have a higher IC50 value than the standard drug acarbose (IC50: 891 μg/mL). Compound 6g (IC50: 68 μg/mL) exhibited 13 times higher activity than standard acarbose. All compounds, except 6e, have been shown to have greater DPPH radical scavenging capabilities than BHT and β-carotene standards. According to ABTS radical scavenging studies, all compounds showed higher scavenging activity than ascorbic acid and Trolox. To determine the anticancer activity of the synthesized compounds, they were screened against the Hela cell line, and the results were compared with standard cisplatin (IC50: 16.30 μg/mL). Compound 6a (IC50: 49.03 μg/mL) was determined to have moderate activity relative to cisplatin. The compounds were examined comprehensively for ADME characteristics and did not violate any drug-likeness rule. ADME data showed that all physicochemical and pharmacological parameters of the compounds remained within defined limits as specified in Lipinski's rules (RO5) and put forth a high bioavailability profile. The molecular docking findings show that all molecules have a high affinity by exhibiting polar and apolar contact with essential residues in the binding pocket of α-amylase. Communicated by Ramaswamy H. Sarma

Development of novel monoamine oxidase B (MAO-B) inhibitors by combined application of docking-based alignment, 3D-QSAR, ADMET prediction, molecular dynamics simulation, and MM_GBSA binding free energy

Abstract: Abstract Unsaturated ketone derivatives are known as inhibitors of monoamine oxidase B (MAO-B), a potential drug target of Parkinson’s disease. Here, docking-based alignment, 3 D-QSAR (three-dimensional quantitative structure-activity relationship) studies, ADMET (absorption, distribution, metabolism, excretion, and toxicity) prediction, molecular dynamics (MD) simulation, and MM_GBSA binding free energy were performed on a novel series of MAO-B inhibitors. The objective is to predict new MAO-B inhibitors with high potency activity. The 3 D-QSAR models were created using comparative molecular field analysis (CoMFA) and comparative molecular similarity index analysis (CoMSIA). Molecular docking findings indicated that compounds with strong inhibitory efficacy also had a high binding affinity. 3 D-QSAR studies showed the importance of steric, electrostatic, and H-bond acceptor fields on the inhibitory activity of MAO-B. Based on the appropriate 3 D-QSAR model, a new series of MAO-B inhibitors were predicted and their pharmacokinetic characteristics were evaluated using in silico ADMET prediction. All screened compounds show good oral bioavailability without any side effects. Moreover, the dynamic behavior and stability of the most active compounds were evaluated using MD simulations. The results showed that unsaturated ketone derivatives are stable and compact during the 100 ns of MD simulation. Finally, the binding free energy of complexes was determined using the MM_GBSA method; the findings indicated that the T1 compound is more stable (ΔGbinding = −409.506 KJ/mol) than the data set's highest active compound (ΔGbinding = −31.883 KJ/mol). Communicated by Ramaswamy H. Sarma

Structure and inhibition mechanism of some synthetic compounds and phenolic derivatives as tyrosinase inhibitors: review and new insight

Abstract: Abstract Safety concerns are the primary consideration to identify and detection of enzyme inhibitors. In this regard, safe and potent tyrosinase inhibitors play important role in enhancing nutritional quality, health promotion and also prevent further damages. The present review focuses on the recent and efficient tyrosinase inhibitors discovered from both synthetic sources and synthesized phenolic compounds, including flavonoid, carvacrol, thymol, cinnamic acid and resorcinol derivatives. The inhibitory activity of these compounds was analyzed according to chemical structure, IC50, Ki and their binding energy. Further, inhibition mechanism and the biological effects of some these inhibitors with potential application in food, agricultural, cosmetic and pharmaceutical industries were briefly discussed. Molecular docking procedure was performed on some derivatives and demonstrated favorable binding affinity with amino acid residues of mushroom tyrosinase (PDB ID: 2Y9X). The information offered showed that the substitution pattern of hydroxyl groups at the phenyl ring is an important factor of tyrosinase inhibitory activity. The results confirmed that understanding structural modification of inhibitors is a key role in finding novel and efficacious tyrosinase inhibitors. Communicated by Ramaswamy H. Sarma

An insight from computational approach to explore novel, high-affinity phosphodiesterase 10A inhibitors for neurological disorders.

Abstract: The enzyme Phosphodiesterase 10A (PDE10A) plays a regulatory role in the cAMP/protein kinase A (PKA) signaling pathway by means of hydrolyzing cAMP and cGMP. PDE10A emerges as a relevant pharmacological drug target for neurological conditions such as psychosis, schizophrenia, Parkinson's, Huntington's disease, and other memory-related disorders. In the current study, we subjected a set of 1,2,3-triazoles to be explored as PDE10A inhibitors using diverse computational approaches, including molecular docking, classical molecular dynamics (MD) simulations, Molecular Mechanics Poisson-Boltzmann Surface Area (MM-PBSA) calculations, steered MD, and umbrella sampling simulations. Molecular docking of cocrystallized ligands papaverine and PFJ, along with a set of in-house synthesized molecules, suggested that molecule 3i haded the highest binding affinity, followed by 3h and 3j. Furthermore, the structural stability studies using MD and MM-PBSA indicated that the 3h and 3j formed stable complexes with PDE10A. The binding free energy of -240.642 kJ/mol and -201.406 kJ/mol was observed for 3h and 3j, respectively. However, the cocrystallized ligands papaverine and PFJ exhibited comparitively higher binding free energy values of -202.030 kJ/mol and -138.764 kJ/mol, respectively. Additionally, steered MD and umbrella sampling simulations provided conclusive evidence that the molecules 3h and 3j could be exploited as promising candidates to target PDE10A.Communicated by Ramaswamy H. Sarma.

Chemical complementarity between immune receptor CDR3s and candidate cancer antigens correlating with reduced survival: evidence for outcome mitigation with corticosteroid treatments

Abstract: Abstract The evaluation of physicochemical characteristics of extensive adaptive immune receptor (IR) recombination sequence collections has led to the discovery of many correlations of those sequences and a variety of diseases, including cancer. In the cancer setting, these evaluations have recently focused on the adaptive IR, complementarity determining region-3 (CDR3) amino acid (AA) sequences, which play a major role in antigen binding. For example, the chemical complementarities of the tumor resident, CDR3 AA sequences and the BRAFV600E mutant, common in melanoma, have proved informative with regard to outcomes. Many of these evaluations led to the conclusion that a high affinity match, efficiently, algorithmically designated as a high chemical complementarity score (CS) for the patient specific, IR CDR3 AA sequences and the cancer antigens, correlated with improved survival outcomes. In this report, the complementarity scoring algorithms were used to investigate the opposite phenomenon, high complementarity chemistry between CRD3 AAs and cancer antigens that correlated with a worse survival, an approach that revealed potential risk stratification biomarkers for lung adenocarcinoma, lung squamous carcinoma, and likely other cancer types. Most importantly, analyses suggested that high IR CDR3 AA-candidate antigen CS, low overall survival results for low grade glioma were mitigated by neoadjuvant corticosteroid treatments. Overall, the analyses of this report, coupled with earlier work establishing the CS approach for identifying likely good outcomes, have the potential to distinguish patients who will benefit from (i) immune activating or (ii) immune augmenting or (iii) even immunosuppressive treatment strategies. Communicated by Ramaswamy H. Sarma

Drug design of new therapeutic agents: molecular docking, molecular dynamics simulation, DFT and POM analyses of new Schiff base ligands and impact of substituents on bioactivity of their potential antifungal pharmacophore site

Abstract: Abstract Since Schiff base derivatives have a wide range of biological activities, novel Schiff base derivatives were designed and synthesized in satisfactory yields. 1H NMR, 13C NMR, IR, mass and elemental analysis were used to provide a complete structural characterization of the new synthesized Schiff bases (3–6). The antiproliferative activity properties of compounds were tested against two human cancer cell lines including breast (MDA-MB-231) and colon (DLD-1). The compounds overall did not show high cytotoxic activity against both cancer cell lines compared to the positive control drug cisplatin. The synthesized Schiff base compounds were further screened for their in vitro antimicrobial activities against five bacterial strains (Escherichia coli (ATTC 25922), Salmonella thyphimurium (ATTC 14028), Staphylococcus aureus (ATCC 25923), Bacillus subtilis (ATCC 6633), Bacillus cereus (ATCC 11778)) and two fungal strains (Candida albicans (ATCC 10231) and Candida glabrata (ATCC 90030)) using broth micro dilution techniques. The mode of action for the antimicrobial effect in the experimental part was explored through molecular docking. The stability of target-ligand complexes obtained from the docking were assessed through molecular dynamics simulation. The binding affinity of the compounds toward the target protein were also investigated using MMPBSA. Furthermore, electrochemical properties of some compounds was analyzed by DFT calculations. By using POM theory, it becomes more easy to control the bioactivity of drugs. Here, how the physicochemical properties play a crucial role in the orientation of their bioactivity was demonstrated. Communicated by Ramaswamy H. Sarma

Integrated multi-omic data analysis and validation with yeast model show oxidative phosphorylation modulates protein aggregation in amyotrophic lateral sclerosis

Abstract: Amyotrophic Lateral Sclerosis is a progressive, incurable amyloid aggregating neurodegenerative disease involving the motor neurons. Identifying potential biomarkers and therapeutic targets can assist in the better management of the disease. We used an integrative approach encompassing analysis of transcriptomic datasets of human and mice from the GEO database. Our analysis of ALS patient datasets showed deregulation in Non-alcoholic fatty acid liver disease and oxidative phosphorylation. Transgenic mice datasets of SOD1, FUS and TDP-43 showed deregulation in oxidative phosphorylation and ribosome-associated pathways. Commonality analysis between the human and mice datasets showed oxidative phosphorylation as a major deregulated pathway. Further, protein-protein and protein-drug interaction network analysis of mitochondrial electron transport chain showed enrichment of proteins and inhibitors of mitochondrial Complex III and IV. The results were further validated using the yeast model system. Inhibitor studies using metformin (Complex-I inhibitor) and malonate (Complex-II inhibitor) did not show any effect in mitigating the amyloids, while antimycin (Complex-III inhibitor) and azide (Complex-IV inhibitor) reduced amyloidogenesis. Knock-out of QCR8 (Complex-III) or COX8 (Complex–IV) cleared the amyloids. Taken together, our results show a critical role for mitochondrial oxidative phosphorylation in amyloidogenesis and as a potential therapeutic target in ALS.Communicated by Ramaswamy H. Sarma

A foundational theoreticalAl12E12(E = N, P) adsorption and quinolone docking study: cage–quinolone pairs, optics and possible therapeutic and diagnostic applications

Abstract: Abstract This combined Al12 E 12 (E = N, P) surface adsorption and docking study describes the new possibility of prospective potential probing(photophysical/optical) and therapy(medicinal/biochemical) with these adsorbent conjugates. DFT investigations were undertaken herein to help generate geometrical models and better understand the possible favorable adsorption energetics. We attempt to explain their adsorption behaviors and docking involving SARS–CoV–2 viruses (PDB)to assess their possible pharmaceutical potential against the pandemic virus (COVID–19). The adsorption behavior of 8–hydroxy–2–methylquinoline (MQ) and its halogenated derivatives, 5,7–diiodo–8–hydroxy–2–methylquinoline (MQI), 5,7–dichloro–8–hydroxy–2–methylquinoline (MQCl), and 5,7–dibromo–8–hydroxy–2–methylquinoline (MQBr), with aluminum–nitrogen (AlN), and aluminum–phosphorous (AlP) fullerene–like nanocages is reported. A decrease in the hardness of the nanoclusters when adsorbed with drug molecules resulted in an incrementally improved chemical softness (see e.g., Hard–Soft Acid Base theory) indicating that reactivity of the drug molecule in the resulting complex increases upon cluster chemical adsorption. The energy gap is found to be maximized for AlN–MQ and minimized for AlP–MQI; the reduced density gradient (RDG) iso–surfaces and AIM studies also corroborated this. Therefore, these two were found, respectively, to be the least and most electrically conductive of the species under study. We selected a simple medicinal building block (chelator)in addition to selecting the cluster based on previous literature reports. Important parameters such as gap energies and global indices were determined. We assessed NLO properties. The SARS–CoV–2 virus PDB docking data for 6VW1, 6VYO, 6WKQ, 7AD1, 7AOL, 7B3C, were enlisted as ligand targets for studies of docking (PatchDock Server) using the requisite PDB geometries (For the structure of 6VW1, kindly see reference, 2020; For the structure of 6VYO kindly see reference, 2020; For the structure of 6WKQ kindly see reference, 2020; For the structure of 7AD1 kindly see reference, 2021; For the structure of 7AOL kindly see reference, 2021; For the structure of 7B3C kindly see reference, 2021). Such findings indicate that the AlN–drug conjugation have inhibitory effect against these selected receptors. Communicated by Ramaswamy H. Sarma Graphical Abstract

Promising antivirals for PLpro of SARS-CoV-2 using virtual screening, molecular docking, dynamics, and MMPBSA

Abstract: Abstract The recent pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection (COVID-19) is a viral respiratory disease that has been spread all over the globe. Therefore, it is an urgent requirement to identify and develop drugs for this contagious infection. The papain-like protease (PLpro) of SARS-CoV-2 performs critical functions in virus replication and immune evasion, making it an enticing therapeutic target. SARS-CoV-2 and SARS-CoV PLpro proteases have significant similarities, and an inhibitor discovered for SARS-CoV PLpro is an exciting first step toward therapeutic development. Here, a set of antiviral molecules were screened at the catalytic and S-binding allosteric sites of papain-like protease (PLpro). Molecular docking results suggested that five molecules (44560613, 136277567, S5652, SC75741, and S3833) had good binding affinities at both sites of PLpro. Molecular dynamics analysis like root mean square deviation (RMSD), root mean square fluctuation (RMSF), radius of gyration (Rg), solvent accessible surface area (SASA), and hydrogen bond results showed that identified molecules with PLpro tend to form stable PLpro-inhibitor(s) complexes. Molecular Mechanics/Position-Boltzmann Surface Area (MMPBSA) analysis confirmed that antiviral molecules bound PLpro complex had lower energy (-184.72 ± 7.81 to −215.67 ± 6.73 kJ/mol) complexes. Noticeably, computational approaches revealed promising antivirals candidates for PLpro, which may be further tested by biochemical and cell-based assays to assess their potential for SARS-CoV-2. Communicated by Ramaswamy H. Sarma

Coumarin derivative as a potent drug candidate against triple negative breast cancer targeting the frizzled receptor of wingless-related integration site signaling pathway

Abstract: Triple negative breast cancer constitutes to about 21.8 percent of the total breast cancer related cases. Its ability to affect young ladies and in pre-menstrual stage makes this a disease of concern worldwide. The current treatment regimens involve chemotherapy which are used for treatment of other cancer types. In this regard, there is a need for specific and targeted drug candidate for its effective treatment. In the current study, assessment of coumarin derivative 2-(2-(6- Methyl-2-Oxo-2H-chromen-4-yl) acetamido)-3-phenylpropanoic acid is carried out both In-silico and In-vitro methods. Frizzled transmembrane proteins of Wingless-related integration site signaling pathway was targeted in which Frizzled-7 proved to a prospective target and showed a binding energy of -6.78 kcal/mol. The complex was subjected to molecular dynamics simulation for 200 ns and showed stable interaction with cysteine rich domain of the receptor. Cell proliferation, viability and apoptosis assay were performed on MDA-MB-231 and MDA-MB-468 cell lines with an IC50 value of 81.23 and 84.68 µM, respectively. The results provide a drug candidate which is derivative of a natural compound with targeted TNBC inhibitory effect. Communicated by Ramaswamy H. Sarma.

An investigation for the interaction of gamma oryzanol with the Mpro of SARS-CoV-2 to combat COVID-19: DFT, molecular docking, ADME and molecular dynamics simulations

Abstract: Abstract COVID-19 has affected more or less every nation across the world and affected the economy very badly. Infection of this virus in human took the life of millions. We have already faced the first and the second waves of COVID-19 and recently, the nations or humanity is afraid of new strain, that is, OMICRON. Considered to highly infectious than the previous strains. Therefore, the researchers are working to find a promising molecule with no or permissible toxicity. In the present work, authors have chosen 10 molecules including the molecules used in curing the infection from nCoV. All the molecules were docked against Mpro of nCoV using iGemdock, a reliable computational tool. Based on the binding energy obtained, it can be seen that only latermovir; remdesivir; zanamivir showed better binding affinity than the gamma oryzanol, the molecule of interest in this work. These three molecules are already in use to cure the patients siffering from the infection of nCoV. But, we need a cost effective and easily available molecule to fight against this viral infection. The binding energy obtained for the formation of complex of gamma oryzanol with Mpro of nCoV through molecular docking is −118.787 kcal/mol. It forms conventional hydrogen bonds with the CYS145 (2.51 Å), LEU141 (3.01 Å) and SER144 (3.09 Å); forms C-H bonds with PHE140 (3.37 Å) and HIS163 (2.91 Å), forms alkyl interactions with ALA191 (3.59 and 4.74 Å), CYS145 (4.90 Å). One interesting information is obtained that the value of log Kp of gamma oryzanol is least means more permeable to skin in comparison of other molecules used in the work. Gamma oryzanol in known for to its biological potency like it can modulate the oxidative stress as well as inflammation. DFT calculations of gamma oryzanol (GO) was made at different temperature and no change in the delocalization of electron density as well no change in free energy is observed. Molecular dynamics (MD) simulations of gamma oryzanol with the Mpro of nCoV at different temperatures was performed. The formation of the complex between GO and Mpro of CoV at 290 K, 300 K, 310 K and 320 K for 100 ns was investigated. It has been observed that the effective binding is observed at 290 K, therefore, it can be said that the inhibition of the Mpro of nCoV with GO is maximum at 290 K. Communicated by Ramaswamy H. Sarma

Interaction of Anagrelide drug molecule on pristine and doped boron nitride nanocages: a DFT, RDG, PCM and QTAIM investigation

Abstract: Abstract Nowadays, a nanostructure-based drug delivery system is one of the most noticeable topics to be studied, and in this regard, boron nitride nanoclusters are promising drug carriers for targeted drug delivery systems. In this article, the interaction mechanism of Anagrelide (AG) drug with B12N12 and Al- and Ga-doped B12N12 nanocages have been investigated using DFT with B3LYP/6-31 G (d, p) method in both gas and water media. All our studied complexes are thermodynamically stable, and doped nanocage complexes have higher negative adsorption energy (EAd.) and negative solvation energy than AG/B12N12 complexes which correspond to the stability of these systems in both media. The negative highest EAd value is 64.98 kcal/mol (63.17 kcal/mol) and 65.69 kcal/mol (65.11 kcal/mol) in gas (water) media for complex F (AG/AlB11N12) and complex I (AG/GaB11N12) respectively, which refers to the highest stability of these systems. The enhanced values of dipole moment (from 12.40 (12.65) Debye to 17.21 (17.69) Debye in complex F (complex I)) also confirm their stability. The QTAIM and RDG analysis endorse the strong adsorption nature of the AG drug onto the AlB11N12, and GaB11N12 nanocages, which is consistent with the adsorption energy as chemisorption occurs for these complexes. According to the electronic properties, doped nanocages show high sensitivity that infers their promising nature for drug delivery purposes. Thus, complex F and complex I are promising drug delivery systems, and doped nanocages (AlB11N12 and GaB11N12) are better carriers than pristine nanocages for the AG drug delivery system. Communicated by Ramaswamy H. Sarma

Structural modelling and in silico pharmacology of β-carboline alkaloids as potent 5-HT1A receptor antagonists and reuptake inhibitors

Abstract: Abstract Serotonin (5-HT) antagonists and reuptake inhibitors (SARIs) are atypical antidepressants for managing major depressive disorder. They are oftentimes applied as adjuvants for ameliorating aftereffects of SSRI antidepressants including insomnia and sexual dysfunction. The few available candidates of this class including lorpiprazole and trazodone also display some daunting side effects, making a continuous search for improved alternatives essential. Natural β-carboline alkaloids (NβCs) are interestingly renowned with broad pharmacological spectrum against several neuropsychiatric disorders including depression. However, their potentials as SARIs remain underexplored. In this study, 982 NβCs retrieved from the Ambinter-Greenpharma (Amb) database were virtually screened for potent SARI alternatives using computational and biocheminformatics approaches: homology modelling of 5-HT1A receptor, Glide HTVS, SP and XP molecular docking, molecular dynamics (MD) simulation, ADMET and mutagenicity predictions. The homology receptor was validated as a good representative of human 5HT1A receptor using the RCSB structure validation and quality protocols. From the virtual screening against the 5-HT1A receptor, Amb ligands, Amb18709727 and Amb37857532 showed higher binding affinities by XP scores of −8.725 and −7.976 kcal/mol, and MMGBSA of −87.972 and −107.585 kcal/mol respectively compared to lorpiprazole, a reference SARI with XP score and MMGBSA of −6.512 and −62.788 kcal/mol respectively. They maintained ideal contacts with pharmacologically essential amino acid residues implicated in SARI mechanisms and expressed higher stability and compactness than lorpiprazole throughout the trajectories of 100 ns MD simulation. They also displayed interesting ADME, druggability, low toxicity and mutagenicity profiles, ideal for CNS drug prospects, thus, recommended as putative SARI candidates for further study. Communicated by Ramaswamy H. Sarma

Structural aspects of SARS-CoV-2 mutations: Implications to plausible infectivity with ACE-2 using computational modeling approach

Abstract: Abstract Some of the SARS-CoV-2 variants are said to be more infectious than the previous others and are causing panic around the globe. Cases related to Delta plus (δ+) and omicron (ο) variants are on the rise worldwide. This sudden surge warrants an investigation into the reasons for its binding with ACE-2. The present study attempts to find out the structural basis of binding interactions of SARS-CoV-2 mutants based on computational modeling and comparative analysis. In silico strategies including protein-protein docking, mutation analysis, molecular dynamics, and binding energy calculations were used to study the binding of the 'receptor binding domain' (RBD) of the seven ‘variants of concern’ which include Alpha (α), Beta (β), Gamma (γ), Kappa (κ), Delta (δ), Delta plus (δ+) and omicron (ο) with ACE-2 (human angiotensin-converting enzyme-2) and with antibodies. Among all the variants dealt with in this study, Delta plus and omicron were found to be binding more strongly to ACE-2 than others due to inherent mutations and the consequent change in the hydrophilic and hydrophobic environment of the binding site. Furthermore, molecular dynamic (MD) simulations and subsequent MM/PBSA calculations provided useful structural insights into key residues participating in the interaction. Infectivity of a virus could be dependent on the interplay of evading antibodies and simultaneously attaching strongly with the host receptor. A cross-correlation between mutant spike proteins' binding with ACE-2 and antibodies provides a holistic assessment of the binding nature of these mutants vis-à-vis native virus and offers opportunities for designing potential therapeutics against these new mutants. Communicated by Ramaswamy H. Sarma

Computational investigation of phytochemicals from Abrus precatorius seeds as modulators of peroxisome proliferator-activated receptor gamma (PPARγ)

Abstract: Abstract Type 2 diabetes mellitus remains global health challenge with involvement of both insulin resistance and dysfunctional insulin secretion from the pancreatic β-cell. Currently, peroxisome proliferator-activated receptor gamma (PPARγ) has been established to play a significant role in glucose homeostasis and insulin sensitization contributing to the pathogenesis of type 2 diabetes mellitus. Hence, this study used in-silico analysis to predict PPARγ antagonists from the natural compounds. ADMET screening, structure-based virtual screening and MM/GBSA calculations of phytochemicals from HPLC analysis of A. precatorius seeds were performed against PPARγ using Maestro Schrodinger suite, followed by the MD simulation of top hit compounds and reference ligand using GROMACS. The quantum chemical calculations of the compounds were performed using Spartan 14 computational chemistry software. The five compounds showed varying degree of binding affinity against PPARγ, the post-docking analysis confirmed strong interaction against the amino acid residues of the binding site of the target. Chlorogenic acid showed the highest docking score (−10.719 kcal/mol) among the compounds comparable to the reference ligand (acarbose = −10.634 kcal/mol). Additionally, MM/GBSA binding free energy (ΔG bind) calculations support the modulatory potential for the docked compounds, which exclusively revealed the highest binding energy for the compounds than the reference ligand (acarbose). The MD simulations suggested the stability of Chlorogenic acid and Quercetin in complex with PPARγ at least in the time period of 90 ns after initial equilibration state with more H-bond observed between the target-hit compounds complex compared to the Acarbose–PPARγ complex. ADMET profile revealed that the five compounds were favorably druggable and promising drug candidates. The quantum chemical calculations showed that the compounds possess better bioactivity and chemical reactivity with favorable intra-molecular charge transfer as electron-donor and electron-acceptor. This study revealed that bioactive compounds especially chlorogenic acid and quercetin identified from A. precatorius seeds demonstrated good modulatory potential against PPARγ compared to acarbose. Therefore, these compounds require further experimental validation for the discovery of new antagonist of PPARγ for developing new anti-diabetes therapy. Communicated by Ramaswamy H. Sarma

In silico screening of the effectiveness of natural compounds from algae as SARS-CoV-2 inhibitors: molecular docking, ADMT profile and molecular dynamic studies

Abstract: Abstract Marine species are known as rich sources of metabolites largely involved in the pharmaceutical industry. This study aimed to evaluate in silico the effect of natural compounds identified in algae on the SARS-CoV-2 Main protease, RNA-dependent-RNA polymerase activity (RdRp), endoribonuclease (NSP15) as well as on their interaction with viral spike protein. A total of 45 natural compounds were screened for their possible interaction on SARS-CoV-2 target proteins using Maestro interface for molecular docking, molecular dynamic (MD) simulation to estimate compounds binding affinities. Among the algal compounds screened in this study, three (Laminarin, Astaxanthin and 4’-chlorostypotriol triacetate) exhibited the lowest docking energy and best interaction with SARS-CoV-2 viral proteins (Main protease, RdRp, Nsp15, and spike protein). The complex of the main protease with laminarin shows the most stable RMSD during a 150 ns MD simulation time. Which indicates their possible inhibitory activity on SARS-CoV-2. Communicated by Ramaswamy H. Sarma

Biophysical and molecular modeling evidences for the binding of sulfa molecules with hemoglobin

Abstract: Abstract The molecular mechanism of the heme protein, hemoglobin (Hb) interaction with sulfa molecule, sulfadiazine (SDZ) has been investigated through spectroscopic, neutron scattering and molecular modeling techniques. Absorption and emission spectroscopic studies showed that SDZ molecules were bound to Hb protein, non-cooperatively. The binding affinityof SDZ-Hb complex at standard experimental condition was evaluated to be around (4.2 ± 0.07) ×104, M−1with 1:1 stoichiometry. Drug induced structural perturbation of the 3 D protein moiety was confirmed through circular dichroism (CD), synchronous fluorescence and small angle neutron scattering methods. From the temperature dependent spectrofluorometric studies, the negative standard molar Gibbs energy change suggested the spontaneity of the reaction. The negative enthalpy and positive entropy change(s) indicated towards the involvement of both electrostatic and hydrophobic forces during the association process. Salt dependent fluorescence study revealed major contributions from non-poly-electrolytic forces. Molecular modeling studies determined the probable binding sites, types of interaction involved and the conformational alteration of the compactness of the Hb structure upon interaction with SDZ molecule. Overall, the study provides detailed insights into the binding mechanism of SDZ antibiotics to Hb protein. Communicated by Ramaswamy H. Sarma