Structural and Sequence Similarity Makes a Significant Impact on Machine-Learning-Based Scoring Functions for Protein–Ligand Interactions

标题
Structural and Sequence Similarity Makes a Significant Impact on Machine-Learning-Based Scoring Functions for Protein–Ligand Interactions
作者
关键词
-
出版物
Journal of Chemical Information and Modeling
Volume 57, Issue 4, Pages 1007-1012
出版商
American Chemical Society (ACS)
发表日期
2017-03-31
DOI
10.1021/acs.jcim.7b00049

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