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Computational chemoproteomics to understand the role of selected psychoactives in treating mental he...

Computational chemoproteomics to understand the role of selected psychoactives in treating mental he...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6739337

Computational chemoproteomics to understand the role of selected psychoactives in treating mental health indications

About this item

Full title

Computational chemoproteomics to understand the role of selected psychoactives in treating mental health indications

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2019-09, Vol.9 (1), p.13155-15, Article 13155

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

We have developed the Computational Analysis of Novel Drug Opportunities (CANDO) platform to infer homology of drug behaviour at a proteomic level by constructing and analysing structural compound-proteome interaction signatures of 3,733 compounds with 48,278 proteins in a shotgun manner. We applied the CANDO platform to predict putative therapeuti...

Alternative Titles

Full title

Computational chemoproteomics to understand the role of selected psychoactives in treating mental health indications

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6739337

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6739337

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-019-49515-0

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