Verkhivker, G;
Spiwok, V;
Gervasio, FL;
(2019)
Editorial: Machine learning in biomolecular simulations.
Frontiers in Molecular Biosciences
, 6
, Article 76. 10.3389/fmolb.2019.00076.
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| Type: | Article |
|---|---|
| Title: | Editorial: Machine learning in biomolecular simulations |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.3389/fmolb.2019.00076 |
| Publisher version: | https://doi.org/10.3389/fmolb.2019.00076 |
| Language: | English |
| Additional information: | This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. https://creativecommons.org/licenses/by/4.0/ |
| Keywords: | machine learning, molecular modeling, molecular dynamics computer simulation, intrinsically disordered protein, sampling enhancement, non-linear dimension reduction |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Chemistry |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10082673 |
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