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Predicting drug combination side effects based on a metapath-based heterogeneous graph neural networ...

Predicting drug combination side effects based on a metapath-based heterogeneous graph neural networ...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ecfbce59056f48ef81cdebf3ae2c6aa2

Predicting drug combination side effects based on a metapath-based heterogeneous graph neural network

About this item

Full title

Predicting drug combination side effects based on a metapath-based heterogeneous graph neural network

Publisher

England: BioMed Central Ltd

Journal title

BMC bioinformatics, 2025-01, Vol.26 (1), p.16-20, Article 16

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

In recent years, combined drug screening has played a very important role in modern drug discovery. Generally, synergistic drug combinations are crucial in treatment for many diseases. However, the toxic side effects of drug combinations are probably increased with the increase of drugs numbers, so the accurate prediction of toxic side effects of d...

Alternative Titles

Full title

Predicting drug combination side effects based on a metapath-based heterogeneous graph neural network

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ecfbce59056f48ef81cdebf3ae2c6aa2

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ecfbce59056f48ef81cdebf3ae2c6aa2

Other Identifiers

ISSN

1471-2105

E-ISSN

1471-2105

DOI

10.1186/s12859-024-06028-6

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