ETH Zurich, Department of Chemistry and Applied Biosciences, RETHINK, Vladimir-Prelog-Weg 4, 8093, Zurich, Switzerland.
Charles River, 6-9 Spire Green Centre, Harlow, Essex, CM19 5TR, UK.
Angew Chem Int Ed Engl. 2019 Aug 5;58(32):10792-10803. doi: 10.1002/anie.201814681. Epub 2019 May 17.
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.
药物化学,特别是药物设计,通常被认为更像是一门艺术而不是一门科学。人类疾病的许多未知因素以及化学空间的纯粹复杂性使得药物化学中的决策变得异常困难。计算模型可以帮助药物化学家完成这一任务。本文概述了最近自动化从头分子设计的一些例子,讨论了所涉及的概念和计算方法,并大胆预测了使用机器智能进行药物设计的一些可能性和局限性。