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Building a unified model for drug synergy analysis powered by large language models

Building a unified model for drug synergy analysis powered by large language models

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_27e0bb01949644a89716d0277381031a

Building a unified model for drug synergy analysis powered by large language models

About this item

Full title

Building a unified model for drug synergy analysis powered by large language models

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2025-05, Vol.16 (1), p.4537-17, Article 4537

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Drug synergy prediction is a challenging and important task in the treatment of complex diseases including cancer. In this manuscript, we present a unified Model, known as BAITSAO, for tasks related to drug synergy prediction with a unified pipeline to handle different datasets. We construct the training datasets for BAITSAO based on the context-en...

Alternative Titles

Full title

Building a unified model for drug synergy analysis powered by large language models

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_27e0bb01949644a89716d0277381031a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_27e0bb01949644a89716d0277381031a

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-025-59822-y

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