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Journal ArticleDOI: 10.1080/07391102.2020.1726815

Extensive immunoinformatics study for the prediction of novel peptide-based epitope vaccine with docking confirmation against envelope protein of Chikungunya virus: a computational biology approach

04 Mar 2021-Journal of Biomolecular Structure & Dynamics (Taylor & Francis)-Vol. 39, Iss: 4, pp 1139-1154
Abstract: Chikungunya virus (CHIKV) instigating Chikungunya fever is a global infective menace resulting in high fever, weakened joint-muscle pain, and brain inflammation. Inaccessibility and unavailability ...

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Topics: Chikungunya (58%)

20 results found

Open accessJournal ArticleDOI: 10.1080/07391102.2020.1796813
Abstract: Recent outbreak of novel coronavirus and its rapid pandemic escalation in all over the world has drawn the attention to urgent need for effective drug development. However, due to prolonged vaccine and drug development procedure against a newly emerged devastating SARS-CoV-2 virus pathogen, repurposing of existing potential pertinent drug molecules would be preferable strategy to reduce mortality immediately and further development of new drugs to combat overall global Covid-19 crisis in all over the world. Herein, we have filtered 23 prospective drug candidates through literature review. Assessing evidences from molecular docking studies, it was clearly seen that, Epirubicin, Vapreotida, and Saquinavir exhibited better binding affinity against SARS-CoV-2 Main Protease than other drug molecules among the 23 potential inhibitors. However, 50 ns molecular dynamics simulation indicated the less mobile nature of the docked complex maintaining structural integrity. Our overall prediction findings indicate that Epirubicin, Vapreotida, and Saquinavir may inhibit COVID-19 by synergistic interactions in the active cavity and those results can pave the way in drug discovery although it has to be further validated by in-vitro and in-vivo investigations. Communicated by Ramaswamy H. Sarma.

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Topics: Drug development (59%), Drug discovery (51%)

22 Citations

Open accessJournal ArticleDOI: 10.3390/MOLECULES26082210
Shafi Mahmud1, Gobindo Kumar Paul1, Mirola Afroze2, Shirmin Islam1  +11 moreInstitutions (6)
12 Apr 2021-Molecules
Abstract: The recent coronavirus disease 2019 (COVID-19) pandemic is a global threat for healthcare management and the economic system, and effective treatments against the pathogenic severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus responsible for this disease have not yet progressed beyond the developmental phases. As drug refinement and vaccine progression require enormously broad investments of time, alternative strategies are urgently needed. In this study, we examined phytochemicals extracted from Avicennia officinalis and evaluated their potential effects against the main protease of SARS-CoV-2. The antioxidant activities of A. officinalis leaf and fruit extracts at 150 µg/mL were 95.97% and 92.48%, respectively. Furthermore, both extracts displayed low cytotoxicity levels against Artemia salina. The gas chromatography-mass spectroscopy analysis confirmed the identifies of 75 phytochemicals from both extracts, and four potent compounds, triacontane, hexacosane, methyl linoleate, and methyl palminoleate, had binding free energy values of -6.75, -6.7, -6.3, and -6.3 Kcal/mol, respectively, in complexes with the SARS-CoV-2 main protease. The active residues Cys145, Met165, Glu166, Gln189, and Arg188 in the main protease formed non-bonded interactions with the screened compounds. The root-mean-square difference (RMSD), root-mean-square fluctuations (RMSF), radius of gyration (Rg), solvent-accessible surface area (SASA), and hydrogen bond data from a molecular dynamics simulation study confirmed the docked complexes' binding rigidity in the atomistic simulated environment. However, this study's findings require in vitro and in vivo validation to ensure the possible inhibitory effects and pharmacological efficacy of the identified compounds.

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Topics: Avicennia officinalis (52%)

16 Citations

Open accessJournal ArticleDOI: 10.1016/J.ARABJC.2020.09.044
Abstract: The numerous bioactive components from Bacillus subtilis are commonly used as antimicrobial agents for reducing plant diseases caused by fungal pathovars. In this study, we isolated and identified B. subtilis SI-18 strain from twenty isolates of rhizosphere soil through morphological and molecular approaches, and explored its inhibitory activities against Rhizoctonia solani. According to morphological features and 16S rRNA and gyrB gene sequence analysis, B. subtilis SI-18 strain was identified. Additionally, the culture filtrate of B. subtilis SI-18 resulted in the suppression of R. solani mycelium growth and material leakage from the cells. Then, we have performed homology modelling and molecular docking study of S9 protein from R. solani where three potential compounds (D1, D2, and D3) were identified among 134 antimicrobial compounds derived from B. subtilis group based on higher binding energy and interaction at the active grove of the target protein. The D1 compound creates alkyl bond at Val48 whereas D2 also binds with Val48 by creating hydrogen bond. On the other hand, two hydrogen bonds were observed at Val48 and Ile52 by D3, which might be responsible for possible blocking of the target S9 protein of R. solani. To validate the docking study and understand the change in drug-ligand conformation, molecular dynamics simulation was assessed where rigid conformation was found for D1, D2 and D3 complexes. Moreover, ADMET study confirms that no toxicity and carcinogenicity were found for screened compounds. Based on our studies, we demonstrated that compounds D1, D2, and D3 derived from B. subtilis can be a potential inhibitor of S9 protein of R. solani that might be a possible strategy for fungal disease prevention.

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Topics: Rhizoctonia solani (58%), Bacillus subtilis (57%)

14 Citations

Open accessJournal ArticleDOI: 10.3390/MOLECULES26040809
Zia Uddin1, Zia Uddin2, Arkajyoti Paul1, Ahmed Rakib3  +9 moreInstitutions (6)
04 Feb 2021-Molecules
Abstract: The current study attempted, for the first time, to qualitatively and quantitatively determine the phytochemical components of Elatostema papillosum methanol extract and their biological activities. The present study represents an effort to correlate our previously reported biological activities with a computational study, including molecular docking, and ADME/T (absorption, distribution, metabolism, and excretion/toxicity) analyses, to identify the phytochemicals that are potentially responsible for the antioxidant, antidepressant, anxiolytic, analgesic, and anti-inflammatory activities of this plant. In the gas chromatography-mass spectroscopy analysis, a total of 24 compounds were identified, seven of which were documented as being bioactive based on their binding affinities. These seven were subjected to molecular docking studies that were correlated with the pharmacological outcomes. Additionally, the ADME/T properties of these compounds were evaluated to determine their drug-like properties and toxicity levels. The seven selected, isolated compounds displayed favorable binding affinities to potassium channels, human serotonin receptor, cyclooxygenase-1 (COX-1), COX-2, nuclear factor (NF)-κB, and human peroxiredoxin 5 receptor proteins. Phytol acetate, and terpene compounds identified in E. papillosum displayed strong predictive binding affinities towards the human serotonin receptor. Furthermore, 3-trifluoroacetoxypentadecane showed a significant binding affinity for the KcsA potassium channel. Eicosanal showed the highest predicted binding affinity towards the human peroxiredoxin 5 receptor. All of these findings support the observed in vivo antidepressant and anxiolytic effects and the in vitro antioxidant effects observed for this extract. The identified compounds from E. papillosum showed the lowest binding affinities towards COX-1, COX-2, and NF-κB receptors, which indicated the inconsequential impacts of this extract against the activities of these three proteins. Overall, E. papillosum appears to be bioactive and could represent a potential source for the development of alternative medicines; however, further analytical experiments remain necessary.

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Topics: ADME (52%)

13 Citations

Journal ArticleDOI: 10.1080/07391102.2020.1734088
Prativa Majee1, Neha Jain1, Amit Kumar1Institutions (1)
Abstract: Nipah virus (NPV) is one of the most notorious viruses with a very high fatality rate. Because of the recurrent advent of this virus and its severe neurological implications, often leading to high ...

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Topics: Virus (55%)

9 Citations


87 results found

Open accessJournal ArticleDOI: 10.1093/NAR/28.1.235
Abstract: The Protein Data Bank (PDB; ) is the single worldwide archive of structural data of biological macromolecules. This paper describes the goals of the PDB, the systems in place for data deposition and access, how to obtain further information, and near-term plans for the future development of the resource.

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30,190 Citations

Journal ArticleDOI: 10.1006/JMBI.2000.4315
Abstract: We describe and validate a new membrane protein topology prediction method, TMHMM, based on a hidden Markov model. We present a detailed analysis of TMHMM's performance, and show that it correctly predicts 97-98 % of the transmembrane helices. Additionally, TMHMM can discriminate between soluble and membrane proteins with both specificity and sensitivity better than 99 %, although the accuracy drops when signal peptides are present. This high degree of accuracy allowed us to predict reliably integral membrane proteins in a large collection of genomes. Based on these predictions, we estimate that 20-30 % of all genes in most genomes encode membrane proteins, which is in agreement with previous estimates. We further discovered that proteins with N(in)-C(in) topologies are strongly preferred in all examined organisms, except Caenorhabditis elegans, where the large number of 7TM receptors increases the counts for N(out)-C(in) topologies. We discuss the possible relevance of this finding for our understanding of membrane protein assembly mechanisms. A TMHMM prediction service is available at

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Topics: Integral membrane protein (54%), Membrane protein (52%), Protein structure prediction (52%) ... read more

10,165 Citations

Open accessJournal ArticleDOI: 10.1038/MSB.2011.75
Fabian Sievers1, Andreas Wilm2, David Dineen1, Toby J. Gibson  +8 moreInstitutions (6)
Abstract: Multiple sequence alignments are fundamental to many sequence analysis methods. Most alignments are computed using the progressive alignment heuristic. These methods are starting to become a bottleneck in some analysis pipelines when faced with data sets of the size of many thousands of sequences. Some methods allow computation of larger data sets while sacrificing quality, and others produce high-quality alignments, but scale badly with the number of sequences. In this paper, we describe a new program called Clustal Omega, which can align virtually any number of protein sequences quickly and that delivers accurate alignments. The accuracy of the package on smaller test cases is similar to that of the high-quality aligners. On larger data sets, Clustal Omega outperforms other packages in terms of execution time and quality. Clustal Omega also has powerful features for adding sequences to and exploiting information in existing alignments, making use of the vast amount of precomputed information in public databases like Pfam.

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10,162 Citations

Open accessJournal ArticleDOI: 10.1093/NAR/GKH131
Abstract: To provide the scientific community with a single, centralized, authoritative resource for protein sequences and functional information, the Swiss-Prot, TrEMBL and PIR protein database activities have united to form the Universal Protein Knowledgebase (UniProt) consortium. Our mission is to provide a comprehensive, fully classified, richly and accurately annotated protein sequence knowledgebase, with extensive cross-references and query interfaces. The central database will have two sections, corresponding to the familiar Swiss-Prot (fully manually curated entries) and TrEMBL (enriched with automated classification, annotation and extensive cross-references). For convenient sequence searches, UniProt also provides several non-redundant sequence databases. The UniProt NREF (UniRef) databases provide representative subsets of the knowledgebase suitable for efficient searching. The comprehensive UniProt Archive (UniParc) is updated daily from many public source databases. The UniProt databases can be accessed online ( or downloaded in several formats ( The scientific community is encouraged to submit data for inclusion in UniProt.

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Topics: UniProt (68%)

6,522 Citations

Open accessJournal ArticleDOI: 10.1093/BIOINFORMATICS/BTP033
01 May 2009-Bioinformatics
Abstract: Summary: Jalview Version 2 is a system for interactive WYSIWYG editing, analysis and annotation of multiple sequence alignments. Core features include keyboard and mouse-based editing, multiple views and alignment overviews, and linked structure display with Jmol. Jalview 2 is available in two forms: a lightweight Java applet for use in web applications, and a powerful desktop application that employs web services for sequence alignment, secondary structure prediction and the retrieval of alignments, sequences, annotation and structures from public databases and any DAS 1.53 compliant sequence or annotation server. Availability: The Jalview 2 Desktop application and JalviewLite applet are made freely available under the GPL, and can be downloaded from Contact:

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6,416 Citations