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Interpretable bilinear attention network with domain adaptation improves drug–target prediction

Interpretable bilinear attention network with domain adaptation improves drug–target prediction

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2778815938

Interpretable bilinear attention network with domain adaptation improves drug–target prediction

About this item

Full title

Interpretable bilinear attention network with domain adaptation improves drug–target prediction

Publisher

London: Nature Publishing Group UK

Journal title

Nature machine intelligence, 2023-02, Vol.5 (2), p.126-136

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Predicting drug–target interaction is key for drug discovery. Recent deep learning-based methods show promising performance, but two challenges remain: how to explicitly model and learn local interactions between drugs and targets for better prediction and interpretation and how to optimize generalization performance of predictions on novel drug–ta...

Alternative Titles

Full title

Interpretable bilinear attention network with domain adaptation improves drug–target prediction

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2778815938

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2778815938

Other Identifiers

ISSN

2522-5839

E-ISSN

2522-5839

DOI

10.1038/s42256-022-00605-1

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