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PharmRL: pharmacophore elucidation with deep geometric reinforcement learning

PharmRL: pharmacophore elucidation with deep geometric reinforcement learning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_960994299fce4615bee504bf76a0a412

PharmRL: pharmacophore elucidation with deep geometric reinforcement learning

About this item

Full title

PharmRL: pharmacophore elucidation with deep geometric reinforcement learning

Publisher

England: BioMed Central Ltd

Journal title

BMC biology, 2024-12, Vol.22 (1), p.301-15, Article 301

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Molecular interactions between proteins and their ligands are important for drug design. A pharmacophore consists of favorable molecular interactions in a protein binding site and can be utilized for virtual screening. Pharmacophores are easiest to identify from co-crystal structures of a bound protein-ligand complex. However, designing a pharmacop...

Alternative Titles

Full title

PharmRL: pharmacophore elucidation with deep geometric reinforcement learning

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_960994299fce4615bee504bf76a0a412

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_960994299fce4615bee504bf76a0a412

Other Identifiers

ISSN

1741-7007

E-ISSN

1741-7007

DOI

10.1186/s12915-024-02096-5

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