Computational Modeling and MM-PBSA-Based Molecular Dynamics Investigation of Unexplored tRNA Isoleucine Lysidine Synthetase from Mycobacterium tuberculosis with Hyperbranched Amoxicilloyl-Poly-L-Lysine
Preliminary computational evidence supporting MtTilS as target and APL-3 as putative inhibitor candidate necessitating further experimental validation is provided, with preliminary computational evidence supporting MtTilS as target and APL-3 as putative inhibitor candidate necessitating further experimental validation.
Tuberculosis (TB) is again the world’s leading cause of death from a single infectious agent. Aminoacyl-tRNA synthetases are essential for protein synthesis and are promising drug targets because bacterial and human enzymes differ. We repurposed a human prolyl-tRNA synthetase (ProRS) inhibitor scaffold, 3-aminopyrazine...
Priyanka Gade, K. Michalska, J. Zítko et al.· ACS Omega· 0 citations
Background:
Fungal infections remain a major global health concern, and increasing resistance to established antifungal agents supports the search for new chemical scaffolds.
Methods:
Five benzimidazole-derived heterocyclic compounds were evaluated in silico against Saccharomyces cerevisiae lanosterol 14α-de...
Mohammed Abdul Jabbar, A. K. Khan, K. Ali· Journal of Emergency Medicin...· 0 citations
Isometamidium chloride (ISM) is a widely used trypanocidal drug for treating animal trypanosomiasis, despite concerns about toxicity, and emerging drug resistance. A comprehensive in silico evaluation integrating molecular interaction analysis, pharmacokinetic profiling, toxicity prediction, and molecular dynamics simu...
S. Batheja, S. Choudhary, Swati Rani et al.· Journal of Xenobiotics· 0 citations
Characterizing the enzymatic accommodation of circular agricultural fertilizers is critical for informing strategies to remediate widespread soil sulfur hunger. Here, we present an exploratory in-silico investigation evaluating the active-site cleft of sulfate thiohydrolase (SoxB) across representative soil Proteobacte...
A cost-effective computational workflow for prioritizing ENR inhibitors is demonstrated, providing a foundation for the development of novel antimalarial agents and highlighting Cd3 and Cd5 as the most promising candidates for further development.
Abozur Mohamed Mohyeldin Khalil, Carlos Eliel Maya-Ramírez, A. A. Razzak Mahmood et al.· In Silico Pharmacology· 0 citations
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.