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ZENODO
Dataset . 2023
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/
ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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Raw data for: Crosstalk between regulatory elements in the disordered TRPV4 N-terminus modulates lipid-dependent channel activity

Authors: Schaefer, Stefan L.; Hummer, Gerhard;

Raw data for: Crosstalk between regulatory elements in the disordered TRPV4 N-terminus modulates lipid-dependent channel activity

Abstract

This repository contains raw data and code related to "Crosstalk between regulatory elements in the disordered TRPV4 N-terminus modulates lipid-dependent channel activity" by Goretzki et al. Included are molecular dynamics parameter files, initial structures after system equilibration, production trajectories of IDRs on membrane, and force and position data for restrained c-termini. Trajectories are subsampled with one frame every 50 ns. Contact information: Name: Stefan L. Schaefer Institution: Department of Theoretical Biophysics, Max Planck Institute of Biophysics Address: Max-von-Laue-Str. 3, 60438 Frankfurt am Main, Germany Email: stefan.schaefer@biophys.mpg.de

This work was supported by the Max Planck Society and the Collaborative Research Center 1507 funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation). We also thank the Max Planck Computing and Data Facility (MPCDF) for computational resources.

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citations
The total number of citations received by all articles of the researcher of interest.
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!
views
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6