PHARMACOGENOMICS INDUCED PROTEIN FUNCTION OF THERAPEUTIC TARGETS
案件概要
出願人
International Business Machines Corporation
発明者
ARITRA BOSE; FILIPPO UTRO; Laxmi Parida
IPC分類
CPC分類
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.
原文（中国語）
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.
外部リソース