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An integrated machine learning approach delineates an entropic expansion mechanism for the binding o...

An integrated machine learning approach delineates an entropic expansion mechanism for the binding o...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3fdc90b371e34eb682e9f28a9d083d88

An integrated machine learning approach delineates an entropic expansion mechanism for the binding of a small molecule to α-synuclein

About this item

Full title

An integrated machine learning approach delineates an entropic expansion mechanism for the binding of a small molecule to α-synuclein

Publisher

England: eLife Sciences Publications, Ltd

Journal title

eLife, 2024-12, Vol.13

Language

English

Formats

Publication information

Publisher

England: eLife Sciences Publications, Ltd

More information

Scope and Contents

Contents

The mis-folding and aggregation of intrinsically disordered proteins (IDPs) such as α-synuclein (αS) underlie the pathogenesis of various neurodegenerative disorders. However, targeting αS with small molecules faces challenges due to the lack of defined ligand-binding pockets in its disordered structure. Here, we implement a deep artificial neural...

Alternative Titles

Full title

An integrated machine learning approach delineates an entropic expansion mechanism for the binding of a small molecule to α-synuclein

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_3fdc90b371e34eb682e9f28a9d083d88

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3fdc90b371e34eb682e9f28a9d083d88

Other Identifiers

ISSN

2050-084X

E-ISSN

2050-084X

DOI

10.7554/eLife.97709

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