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A network integration approach for drug-target interaction prediction and computational drug reposit...

A network integration approach for drug-target interaction prediction and computational drug reposit...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_af0ec87cc2674025b7de4031ef5792be

A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information

About this item

Full title

A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2017-09, Vol.8 (1), p.573-13, Article 573

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

The emergence of large-scale genomic, chemical and pharmacological data provides new opportunities for drug discovery and repositioning. In this work, we develop a computational pipeline, called DTINet, to predict novel drug–target interactions from a constructed heterogeneous network, which integrates diverse drug-related information. DTINet focus...

Alternative Titles

Full title

A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_af0ec87cc2674025b7de4031ef5792be

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_af0ec87cc2674025b7de4031ef5792be

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-017-00680-8

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