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Improved Deep Learning Based Method for Molecular Similarity Searching Using Stack of Deep Belief Ne...

Improved Deep Learning Based Method for Molecular Similarity Searching Using Stack of Deep Belief Ne...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8b2d492fca6346f4893ad0d1ec638808

Improved Deep Learning Based Method for Molecular Similarity Searching Using Stack of Deep Belief Networks

About this item

Full title

Improved Deep Learning Based Method for Molecular Similarity Searching Using Stack of Deep Belief Networks

Publisher

Switzerland: MDPI AG

Journal title

Molecules (Basel, Switzerland), 2020-12, Vol.26 (1), p.128

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Virtual screening (VS) is a computational practice applied in drug discovery research. VS is popularly applied in a computer-based search for new lead molecules based on molecular similarity searching. In chemical databases similarity searching is used to identify molecules that have similarities to a user-defined reference structure and is evaluat...

Alternative Titles

Full title

Improved Deep Learning Based Method for Molecular Similarity Searching Using Stack of Deep Belief Networks

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_8b2d492fca6346f4893ad0d1ec638808

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8b2d492fca6346f4893ad0d1ec638808

Other Identifiers

ISSN

1420-3049

E-ISSN

1420-3049

DOI

10.3390/molecules26010128

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