化学家
计算机科学
药物发现
数据科学
管理科学
化学
工程类
生物信息学
生物
有机化学
作者
Gisbert Schneider,David E. Clark
标识
DOI:10.1002/anie.201814681
摘要
Abstract Medicinal chemistry and, in particular, drug design have often been perceived as more of an art than a science. The many unknowns of human disease and the sheer complexity of chemical space render decision making in medicinal chemistry exceptionally demanding. Computational models can assist the medicinal chemist in this endeavour. Provided here is an overview of recent examples of automated de novo molecular design, a discussion of the concepts and computational approaches involved, and the daring prediction of some of the possibilities and limitations of drug design using machine intelligence.
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