化学
抗菌活性
药物发现
计算机科学
化学
组合化学
细菌
生物
生物化学
遗传学
作者
Pavel V. Pogodin,Alexey A. Lagunin,Anastasia V. Rudik,D.S. Druzhilovskiy,Dmitry Filimonov,Vladimir Poroikov
标识
DOI:10.1021/acs.jcim.9b00436
摘要
Discovery of new antibacterial agents is a never-ending task of medicinal chemistry. Every new drug brings significant improvement to patients with bacterial infections, but prolonged usage of antibacterials leads to the emergence of resistant strains. Therefore, novel active structures with new modes of action are required. We describe a web application called AntiBac-Pred aimed to help users in the rational selection of the chemical compounds for experimental studies of antibacterial activity. This application is developed using antibacterial activity data available in ChEMBL and PASS software. It allows users to classify chemical structures of interest into growth inhibitors or noninhibitors of 353 different bacteria strains, including both resistant and nonresistant ones.
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