Log in to save to my catalogue

VAMPnets for deep learning of molecular kinetics

VAMPnets for deep learning of molecular kinetics

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8a30e6ffd9b7407e84418e912a435af9

VAMPnets for deep learning of molecular kinetics

About this item

Full title

VAMPnets for deep learning of molecular kinetics

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2018-01, Vol.9 (1), p.5-5, Article 5

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

There is an increasing demand for computing the relevant structures, equilibria, and long-timescale kinetics of biomolecular processes, such as protein-drug binding, from high-throughput molecular dynamics simulations. Current methods employ transformation of simulated coordinates into structural features, dimension reduction, clustering the dimens...

Alternative Titles

Full title

VAMPnets for deep learning of molecular kinetics

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_8a30e6ffd9b7407e84418e912a435af9

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8a30e6ffd9b7407e84418e912a435af9

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-017-02388-1

How to access this item