[NMI] A geometric deep learning approach to predict binding conformations of bioactive molecules 解读
Title: A geometric deep learning approach to predict binding conformations of bioactive molecules
DOI: https://doi.org/10.1038/s42256-021-00409-9
INFO: NATURE MACHINE INTELLIGENCE | VOL 3 | DECEMBER 2021
发表周期: Received: 18 May 2021; Accepted: 28 September 2021; Published online: 2 December 2021
药物设计是近年来AI应用的极火领域之一,其中一个最有挑战的问题就是空间结构设计。
One of the difficulties arises from the fact that only a small portion of the large chemical space will bind to a specific biological target and result in a therapeutic effect.