A Chronicle Review of <i>In-Silico</i> Approaches for Discovering Novel Antimicrobial Agents to Combat Antimicrobial Resistance.

ABSTRACT: Antimicrobial resistance (AMR) poses a foremost threat to global health, necessitating innovative strategies for discovering antimicrobial agents. This review explores the role and recent advances of in-silico techniques in identifying novel antimicrobial agents and combating AMR giving few briefings of recent case studies of AMR. In-silico techniques, such as homology modeling, virtual screening, molecular docking, pharmacophore modeling, molecular dynamics simulation, density functional theory, integrated machine learning, and artificial intelligence, are systematically reviewed for their utility in discovering antimicrobial agents. These computational methods enable the rapid screening of large compound libraries, prediction of drug-target interactions, and optimization of

SUBMITTER: Dalbanjan NP 

PROVIDER: S-EPMC11399514 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature