CNIPA.AI
검색으로 돌아가기
기록

OPTIMIZING MOLECULE TOXICITY BY REPLACING TARGET FRAGMENTS WITH BIOISOSTERES

발명심사 중
20청구항 · 3 독립항
§ Ⅰ

개요

발명자

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

IPC 분류

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

CPC 분류

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.

원문 (중국어)

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.