药物发现
结核分枝杆菌
边疆
肺结核
药品
病毒学
计算生物学
生物
医学
药理学
生物信息学
地理
病理
考古
作者
Mohammad Abavisani,Alireza khoshrou,Amirhossein Sahebkar
标识
DOI:10.1016/j.drudis.2024.103909
摘要
• Mycobacterium tuberculosis (MTB) is a drug-resistant pathogen that causes tuberculosis (TB). • Simulation, virtual screening, and de novo design are three computational approaches used in drug discovery for TB. • Automation and robotics have made machine learning (ML) possible to screen a large number of compounds for anti-TB activity. • ML methods are used to understand structure-activity relationship in drug development.
科研通智能强力驱动
Strongly Powered by AbleSci AI