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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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SARS-CoV-2 Spike Structure Vector Analysis Scripts and Molecular dynamics simulation trajectories for the SARS-CoV-2 WT and Mut (K417N+E484K+N501Y) RBDs

Authors: Gobeil, Sophie M.C.; Janowska, Katarzyna; McDowell, Shana; Mansouri, Katayoun; Parks, Rob; Stalls, Victoria; Kopp, Megan F.; +9 Authors

SARS-CoV-2 Spike Structure Vector Analysis Scripts and Molecular dynamics simulation trajectories for the SARS-CoV-2 WT and Mut (K417N+E484K+N501Y) RBDs

Abstract

This entry contains filtered trajectories for both the WT and Mut (K417N+E484K+N501Y) datasets and the scripts used for the vector relationship and Markov modelling work in our paper "Effect of natural mutations of SARS-CoV-2 on spike structure, conformation and antigenicity" posted on bioRxiv March 12th 2021. The VMD scripts can be run from the tcl console after loading VMD and your structure or via the command line using: vmd -dispdev none -e script_name.tcl your_SARS-CoV-2_structure.pdb Residue numbers in these scripts are specific to SARS-CoV-2 and must be numbered in a manner consistent with the the PDB ID 6VXX structure. Analysis of other Coronavirus Spike structures will require modification of the residue selections. Tcl commands for visulizing the vectors in VMD are provided at the bottom of each VMD script. The HTMD.py script commands can be run in an interactive python session to allow for modification of the model and/or testing alternative projections, etc. This requires installation of HTMD (https://software.acellera.com/install-htmd.html). Filtered trajectories for both the WT and Mut (K417N+E484K+N501Y) datasets are available through Globus (https://www.globus.org/) via the following link: https://app.globus.org/file-manager?origin_id=aa7c9c4c-8343-11eb-b799-f57b2d55370d&origin_path=%2F

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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).
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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.
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influence
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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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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