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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
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 . 2022
License: CC BY
Data sources: Datacite
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Dataset for: Conformational and Thermodynamic Differences Underlying Wild-type and Mutant YEATS Domain Specificity for Epigenetic Marks

Authors: Baweja, Lokesh; Wereszczynski, Jeff;

Dataset for: Conformational and Thermodynamic Differences Underlying Wild-type and Mutant YEATS Domain Specificity for Epigenetic Marks

Abstract

The set of molecular dynamics trajectories generated and analyzed in the paper "Conformational and Thermodynamic Differences Underlying Wild-type and Mutant YEATS Domain Specificity for Epigenetic Marks." Citations should refer directly to the manuscript. The preprint version is available at: https://doi.org/10.1101/2022.07.14.500085 The uploaded zip file "trajectory_data.zip" contains trajectories for the (1) apo (2) h3k27ac and (3) h3k9ac systems. In each directory is a subdirectory corresponding to the wild-type, deletion, and insertion mutations. In each of those subdirectories are 10 XTC files, which correspond to the trajectories for the 10 different simulations performed for each system, along with an AMBER-formated PRMTOP file. Solvent molecules were removed from each file, and trajectories were strided such that there is one frame per 500 ps.

{"references": ["https://doi.org/10.1101/2022.07.14.500085"]}

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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