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Machine Learning Techniques Applied to the Study of Drug Transporters

Machine Learning Techniques Applied to the Study of Drug Transporters

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3d6f9b621f3e47978587a4d5c0c64609

Machine Learning Techniques Applied to the Study of Drug Transporters

About this item

Full title

Machine Learning Techniques Applied to the Study of Drug Transporters

Publisher

Basel: MDPI AG

Journal title

Molecules (Basel, Switzerland), 2023-08, Vol.28 (16), p.5936

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

With the advancement of computer technology, machine learning-based artificial intelligence technology has been increasingly integrated and applied in the fields of medicine, biology, and pharmacy, thereby facilitating their development. Transporters have important roles in influencing drug resistance, drug–drug interactions, and tissue-specific dr...

Alternative Titles

Full title

Machine Learning Techniques Applied to the Study of Drug Transporters

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_3d6f9b621f3e47978587a4d5c0c64609

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3d6f9b621f3e47978587a4d5c0c64609

Other Identifiers

ISSN

1420-3049

E-ISSN

1420-3049

DOI

10.3390/molecules28165936

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