今天来精读2023年10月发在《Nature》上的一篇新闻:AlphaFold touted as next big thing for drug discovery — but is it? (nature.com)https://www.nature.com/articles/d41586-023-02984-w Questions remain about whether the AI
“bound drug/molecule”or “unbound drug/molecule” For clarity, the following terms will be used throughout this study: “bound drug/molecule” (or “unbound drug/molecule”) refers to the drug/molecule th
论文题目:Generating focused molecule libraries for drug discovery with recurrent neural networks scholar 引用:203 页数:12 发表时间:2017.12 发表刊物:ASC(American Chemical Society) Central Science 作者:Marwin H. S.
Bioinformatics , 2023 Transfer learning for drug–target interaction prediction 本文主要是对迁移学习所使用的三种模式进行学习 Deep transfer learning is applying transfer learning on deep neural networks. The
AttentiveFP 2020 Motivations 1、The gap between what these neural networks learn and what human beings can comprehend is growing 2、Graph-based representations take only the information concerning th