Machine Learning in Biomolecular Simulations

This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Orig...

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Format: Online
Jezik:engleski
Izdano: Frontiers Media SA 2021
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Online pristup:ONIX_20211118_9782889631360_423
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collection Directory of Open Access Books
description This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact
format Online
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institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher Frontiers Media SA
publisherStr Frontiers Media SA
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spelling doab-20.500.12854ir-732912024-04-04T19:18:31Z Machine Learning in Biomolecular Simulations Verkhivker, Gennady Spiwok, Vojtech Gervasio, Francesco L. machine learning molecular dynamics computer simulation molecular modeling intrinsically disordered proteins ligand design collective variable sampling enhancement non-linear dimensionality reduction kinetics thema EDItEUR::P Mathematics and Science::PD Science: general issues This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact 2021-11-18T16:13:57Z 2021-11-18T16:13:57Z 2019 book ONIX_20211118_9782889631360_423 9782889631360 https://directory.doabooks.org/handle/20.500.12854/73291 eng Frontiers Media SA 10.3389/978-2-88963-136-0 10.3389/978-2-88963-136-0 bf5ce210-e72e-4860-ba9b-c305640ff3ae 9782889631360 129 open access
spellingShingle machine learning
molecular dynamics computer simulation
molecular modeling
intrinsically disordered proteins
ligand design
collective variable
sampling enhancement
non-linear dimensionality reduction
kinetics
thema EDItEUR::P Mathematics and Science::PD Science: general issues
Machine Learning in Biomolecular Simulations
title Machine Learning in Biomolecular Simulations
title_full Machine Learning in Biomolecular Simulations
title_fullStr Machine Learning in Biomolecular Simulations
title_full_unstemmed Machine Learning in Biomolecular Simulations
title_short Machine Learning in Biomolecular Simulations
title_sort machine learning in biomolecular simulations
topic machine learning
molecular dynamics computer simulation
molecular modeling
intrinsically disordered proteins
ligand design
collective variable
sampling enhancement
non-linear dimensionality reduction
kinetics
thema EDItEUR::P Mathematics and Science::PD Science: general issues
topic_facet machine learning
molecular dynamics computer simulation
molecular modeling
intrinsically disordered proteins
ligand design
collective variable
sampling enhancement
non-linear dimensionality reduction
kinetics
thema EDItEUR::P Mathematics and Science::PD Science: general issues
url ONIX_20211118_9782889631360_423