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OPTIMIZING MOLECULE TOXICITY BY REPLACING TARGET FRAGMENTS WITH BIOISOSTERES

发明专利审中
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20权利要求 · 3 独立
§ Ⅰ

卷宗概要

发明人

Brandon White; Alexander Bremner Upjohn Beatson; Katherine Lynn Titterton; Daniil Boiko; Ángel Alexander Cabrera; Alex Tim Bäuerle

IPC 分类

G16C 20/30G16C 20/70G16C 20/90

CPC 分类

G16C20/30G16C20/70G16C20/90

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for predicting toxicity of molecules. In one aspect, a method comprises: obtaining data identifying: (i) an input molecule, and (ii) a target molecule fragment; determining, for each candidate molecule fragment in a database of candidate molecule fragments, a respective similarity measure between: (i) an embedding of the target molecule fragment, and (ii) an embedding of the candidate molecule fragment; selecting a plurality of candidate molecule fragments for inclusion in a set of alternative molecule fragments based on the similarity measures; and generating data defining a plurality of modified molecules, wherein each modified molecule is a modified version of the input molecule where the target molecule fragment is replaced by a respective alternative molecule fragment from the set of alternative molecule fragments; and generating a respective toxicity prediction for each of the plurality of modified molecules.

原文(中文)

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for predicting toxicity of molecules. In one aspect, a method comprises: obtaining data identifying: (i) an input molecule, and (ii) a target molecule fragment; determining, for each candidate molecule fragment in a database of candidate molecule fragments, a respective similarity measure between: (i) an embedding of the target molecule fragment, and (ii) an embedding of the candidate molecule fragment; selecting a plurality of candidate molecule fragments for inclusion in a set of alternative molecule fragments based on the similarity measures; and generating data defining a plurality of modified molecules, wherein each modified molecule is a modified version of the input molecule where the target molecule fragment is replaced by a respective alternative molecule fragment from the set of alternative molecule fragments; and generating a respective toxicity prediction for each of the plurality of modified molecules.