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Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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MSM/RD generated data/plots

Authors: Sarmina, Mauricio Del Razo; Dibak, Manuel; Schütte, Christof; Noé, Frank;

MSM/RD generated data/plots

Abstract

This repository holds the data generated with the MSM/RD software to produce the plots for the paper: ``Multiscale molecular kinetics by coupling Markov state models and reaction-diffusion dynamics'' by Mauricio J. del Razo, Manuel Dibak, Christof Schütte and Frank Noé. The plots are stored in the plots directory. The plotting scripts are written using jupyter notebooks and require numpy and matplotlib. To produce the plots yourself, just run the notebooks included in this folder. The MSM/RD code is written in c++ with python bindings. The code is still in constant development, and there is no official release. Active development of the code is done on this github repository. The exact version of the code used for the paper can be found on this Zenodo repository.

Country
Netherlands
Keywords

MSM/RD, multiscale molecular dynamics, Brownian dynamics of rigid bodies, hybrid switching diffusions

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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