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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| Other Authors: | , , |
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| Format: | Electronic Book Chapter |
| Language: | English |
| Published: |
Frontiers Media SA
2019
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| Subjects: | |
| Online Access: | DOAB: description of the publication |
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| 072 | 7 | |a PD |2 bicssc | |
| 100 | 1 | |a Verkhivker, Gennady |4 edt | |
| 700 | 1 | |a Spiwok, Vojtech |4 edt | |
| 700 | 1 | |a Gervasio, Francesco L. |4 edt | |
| 700 | 1 | |a Verkhivker, Gennady |4 oth | |
| 700 | 1 | |a Spiwok, Vojtech |4 oth | |
| 700 | 1 | |a Gervasio, Francesco L. |4 oth | |
| 245 | 1 | 0 | |a Machine Learning in Biomolecular Simulations |
| 260 | |b Frontiers Media SA |c 2019 | ||
| 300 | |a 1 electronic resource (129 p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a 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 | ||
| 540 | |a All rights reserved |4 http://oapen.org/content/about-rights | ||
| 546 | |a English | ||
| 650 | 7 | |a Science: general issues |2 bicssc | |
| 653 | |a machine learning | ||
| 653 | |a molecular dynamics computer simulation | ||
| 653 | |a molecular modeling | ||
| 653 | |a intrinsically disordered proteins | ||
| 653 | |a ligand design | ||
| 653 | |a collective variable | ||
| 653 | |a sampling enhancement | ||
| 653 | |a non-linear dimensionality reduction | ||
| 653 | |a kinetics | ||
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