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A novel method for drug-target interaction prediction based on graph transformers model

A novel method for drug-target interaction prediction based on graph transformers model

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1cdde3ecac094fb79d03bbe79751766f

A novel method for drug-target interaction prediction based on graph transformers model

About this item

Full title

A novel method for drug-target interaction prediction based on graph transformers model

Publisher

London: BioMed Central Ltd

Journal title

BMC bioinformatics, 2022-11, Vol.23 (1), p.1-459, Article 459

Language

English

Formats

Publication information

Publisher

London: BioMed Central Ltd

More information

Scope and Contents

Contents

Drug-target interactions (DTIs) prediction becomes more and more important for accelerating drug research and drug repositioning. Drug-target interaction network is a typical model for DTIs prediction. As many different types of relationships exist between drug and target, drug-target interaction network can be used for modeling drug-target interac...

Alternative Titles

Full title

A novel method for drug-target interaction prediction based on graph transformers model

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_1cdde3ecac094fb79d03bbe79751766f

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1cdde3ecac094fb79d03bbe79751766f

Other Identifiers

ISSN

1471-2105

E-ISSN

1471-2105

DOI

10.1186/s12859-022-04812-w

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