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기록

PHARMACOGENOMICS INDUCED PROTEIN FUNCTION OF THERAPEUTIC TARGETS

발명심사 중
25청구항 · 4 독립항
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개요

출원인

International Business Machines Corporation

발명자

ARITRA BOSE; FILIPPO UTRO; Laxmi Parida

IPC 분류

G16C 20/50G16B 30/G16B 40/

CPC 분류

G16C20/50G16B30/G16B40/

A set of candidate drugs is selected based on one or more outcomes related to one or more diseases and variants linked with the selected set of candidate drugs are obtained. One or more protein sequences related to the selected set of candidate drugs are collated. Pairs of variants and protein sequences are generated for each drug of the set of candidate drugs. A contrastive learning model is trained using the generated pairs of variants and protein sequences and a downstream task is performed using the contrastive learning model.

원문 (중국어)

A set of candidate drugs is selected based on one or more outcomes related to one or more diseases and variants linked with the selected set of candidate drugs are obtained. One or more protein sequences related to the selected set of candidate drugs are collated. Pairs of variants and protein sequences are generated for each drug of the set of candidate drugs. A contrastive learning model is trained using the generated pairs of variants and protein sequences and a downstream task is performed using the contrastive learning model.