Molecular docking of mycobacterium tuberculosis using lnhA ligand, DHFR ligand and KatGnligand?5 answersMolecular docking studies have been conducted on Mycobacterium tuberculosis using various ligands. The InhA protein has been targeted by N-alkylated indole derivatives, showing promising inhibitory potential. Additionally, the Rv1250 protein from M. tuberculosis has been computationally modeled and docked with the specific Isoniazid ligand, indicating the possibility of designing novel enzyme inhibitors to combat tuberculosis pathogenesis. Furthermore, the MPB83 protein from Mycobacterium bovis has been studied for its binding to integrins, shedding light on potential pathogenic mechanisms of bovine tuberculosis in humans through molecular docking. These studies collectively highlight the significance of molecular docking in exploring interactions between Mycobacterium tuberculosis and various ligands to develop potential therapeutic interventions.
Isonazid towards m spegmatis4 answersIsoniazid is active against Mycobacterium smegmatis (M. smegmatis). It is a nonpathogenic and fast-growing species within the Mycobacterium genus. M. smegmatis has been used as a model bacterium for mycobacterial research, including the study of isoniazid and other tuberculosis drugs. In contrast, isoniazid is becoming less effective against Mycobacterium tuberculosis (M. tuberculosis) due to drug resistance. However, pyridomycin, a compound produced by Dactylosporangium fulvum, has shown specific cidal activity against mycobacteria, including isoniazid-resistant clinical isolates of M. tuberculosis. Pyridomycin inhibits mycolic acid synthesis in M. tuberculosis by targeting the NADH-dependent enoyl-(Acyl-Carrier-Protein) reductase InhA, which is also the target of isoniazid. Therefore, pyridomycin offers a potential alternative for the treatment of tuberculosis, particularly in cases of isoniazid resistance.
Isoniazid derivative, target, molecular docking5 answersIsoniazid derivatives have been studied extensively in the context of antitubercular activity and molecular docking. Several papers have reported the synthesis and evaluation of isoniazid-based compounds for their antimycobacterial activities. Gollagani Vijaya Bhavani et al. designed and synthesized pyridinium salts derived from isoniazid, which showed exceptional antimycobacterial activities and good binding affinities with the target oxidoreductase DprE1 enzyme. Mardi Santoso et al. investigated the synthesis of isoniazid-isatin hydrazone derivatives and their in vitro antitubercular activity. Molecular docking studies revealed the importance of hydrogen bonding and pi-pi interactions for the antitubercular activity of these compounds. Aiswariya et al. explored the synthesis of benzotriazole derivatives tethered with isoniazid and their potential antifungal activity. Rigid docking studies showed good binding affinities between the compounds and the antifungal protein. A. S. Rathod et al. described the synthesis of isoniazid derivatives via Betti's reaction and evaluated their antitubercular activity. Docking studies were performed to interpret the results and understand the binding of the compounds with the target enzyme. S. Ramachandran et al. synthesized azetidinone derivatives and performed molecular docking studies. The results indicated that these compounds showed antitubercular activity through interactions with the enoyl-acyl carrier protein reductase enzyme.
What TB genes are the targets in diagnosis?4 answersThe potential diagnostic targets for tuberculosis (TB) include AKT1, TP53, EGF, ARF1, CD274, and PRKCZ. Other genes that can distinguish active TB from other lung diseases and predict reactivation TB include CD274, CEACAM1, CR1, FCGR1A/B, IFITM1, IRAK3, LILRA6, MAPK14, and PDCD1LG2. For extrapulmonary TB (EPTB), the gene targets mpb64 and IS6110 have been identified as potential diagnostic markers. In addition, the hub genes CTLA4, GZMB, GZMA, and PRF1 have been associated with TB infection and may serve as molecular targets for TB treatment. Furthermore, OAS1, IFIT1, and IFIT3 have been identified as upregulated genes in PTB patients and can be used for the diagnosis of active PTB. These genes, along with others, provide insights into the pathogenesis of TB and offer potential targets for diagnostic and therapeutic interventions.
What is the most effective drug for the treatment of tuberculosis?5 answersThe most effective drug for the treatment of tuberculosis is not explicitly mentioned in the abstracts provided. However, the abstracts discuss various drugs used in the treatment of tuberculosis, including isoniazid, rifampicin, levofloxacin, moxifloxacin, bedaquiline, delamanid, linezolid, and others. These drugs are recommended by the World Health Organization (WHO) for the treatment of drug-resistant tuberculosis. Additionally, the abstracts mention the importance of using a combination of bactericidal and sterilizing drugs to prevent the development of resistance and avoid relapse. Furthermore, a study suggests that xanthoangelol I (XAI) may be a potent inhibitor of Mycobacterium tuberculosis KasA, which could be a potential target for tuberculosis treatment. Overall, the choice of the most effective drug for tuberculosis treatment depends on the specific characteristics of the patient's condition and the drug susceptibility of the Mycobacterium tuberculosis strain.
What are the steps involved in target preparation for molecular docking studies?5 answersTarget preparation for molecular docking studies involves several steps. First, the target protein is carefully prepared by deleting ligands coupled with the receptor-ligand complex. Next, molecular insertion studies are conducted to identify the binding sites between the target protein and different chelating agents. After that, the protein receptors and their ligands are searched and converted to AutoDock format using an integrated instrument that automates data pre-processing for molecular docking. Additionally, global sampling is carried out using macromolecular docking software to generate protein compounds. These compounds are then screened using scoring functions to filter out most of them. Second molecular docking is performed on the remaining compounds, followed by clustering and second-round screening using a designed scoring function. Finally, the binding free energy of the protein is calculated to determine the molecules with the highest binding affinity.