药物发现
天然产物
分离(微生物学)
鉴定(生物学)
自然(考古学)
挫折
数据科学
计算机科学
生化工程
计算生物学
人工智能
生物
生物信息学
工程类
生态学
土木工程
古生物学
生物化学
作者
Vinodh J Sahayasheela,Manendra B. Lankadasari,Vipin Mohan Dan,Syed G. Dastager,Ganesh N. Pandian,Hiroshi Sugiyama
摘要
Covering: up to the end of 2022Microorganisms are exceptional sources of a wide array of unique natural products and play a significant role in drug discovery. During the golden era, several life-saving antibiotics and anticancer agents were isolated from microbes; moreover, they are still widely used. However, difficulties in the isolation methods and repeated discoveries of the same molecules have caused a setback in the past. Artificial intelligence (AI) has had a profound impact on various research fields, and its application allows the effective performance of data analyses and predictions. With the advances in omics, it is possible to obtain a wealth of information for the identification, isolation, and target prediction of secondary metabolites. In this review, we discuss drug discovery based on natural products from microorganisms with the help of AI and machine learning.
科研通智能强力驱动
Strongly Powered by AbleSci AI