Dataset for "Rigidity, normal modes and flexible motion of a SARS-CoV-2 (COVID19) protease structure"

Several crystal structures of proteins from the virus causing COVID19 have recently become available. This study applies rapid simulation and analysis methods to these crystal structures in order to visualise the rigidity and flexibility intrinsic to a protease enzyme from the virus. Seeing the flexibility of a protein crystal structure is valuable information for understanding how the enzyme works and designing drugs that may be able to inhibit the enzyme and prevent the virus from reproducing.

This file contains simulations and analysis carried out on two protein structures from the SARS-CoV-2 (COVID19) virus. These structures are PDB entries 6Y2E and 6LU7. Both structures represent the same homodimeric protease. 6Y2E represents the free protease while 6LU7 includes a bound inhibitor, N3.

The folder for each structure includes README files at each level describing how the structure has been processed and what results have been produced. This study includes rigidity analysis of the crystal structures, elastic network modelling to identify normal modes of the structures, and all-atom geometric simulations of flexible motion along normal mode directions. This study makes use of the PDB, the MolProbity structure processing webserver, FIRST rigidity analysis software, the FRODA geometric simulation engine, Elnemo elastic network modelling software, and PyMOL visualisation software. The SBFIRST code for identication of covalent and noncovalent interactions in a protein structure is included in this collection of data.

Keywords:
Rigidity analysis, protein rigidity, normal mode analysis, elastic network, low-frequency modes, geometric simulation, protein flexibility, protein dynamics, coronavirus, COVID-19
Subjects:
Biomolecules and biochemistry

Cite this dataset as:
Wells, S., 2020. Dataset for "Rigidity, normal modes and flexible motion of a SARS-CoV-2 (COVID19) protease structure". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00772.

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Data

COVID19-6Y2E … flexibility.zip
application/zip (203MB)
Creative Commons: Attribution 4.0

Complete datasets for the rigidity analysis, normal mode analysis, and geometric simulations of flexible motion carried out on the protein structures with PDB IDs 6Y2E and 6LU7. Structures labelled with rigidity information, and trajectories of flexible motion, are provided in the form of numbered and labelled PDB structure files. README files in each folder and subfolder describe the layout of the data in more detail.

Code

SBFIRSTsoftware.zip
application/zip (532kB)
Software: GNU GPL 3.0

C++ code for a utility that identifies covalent, polar and hydrophobic interactions in a protein structure (in PDB format), with corrections for the handling of salt bridge interactions as discussed in DOI: 10.1088/1478-3975/ab2b5c and writes .in files suitable for use with the FIRST rigidity analysis software.

Creators

Stephen Wells
University of Bath

Contributors

University of Bath
Rights Holder

Documentation

Data collection method:

Input data: PDB entries 6Y2E and 6LU7

Data processing and preparation activities:

Analysis and processing workflow for 6LU7 is described here. The procedure for 6Y2E was essentially identical. Downloaded from PDB repository. Note that this structure contains the protease structure as chain A and an inhibitor as chain C. Opened in PyMOL v0.99. Symmetry applied; symmetry mate selected to form homodimeric structure; symmetry mate chain reset to B; symmetry mate of inhibitor chain reset to D; homodimer saved including inhibitors. Homodimer processed using the MolProbity website to add hydrogens at electron-cloud positions, including flipping of ambiguous residues where suggested. Hydrogenated homodimer opened in PyMOL v0.99; heteroatoms, mostly water residues, removed, but inhibitor retained; alternative side chain configurations removed; structure saved as "6lu7inhib.pdb".` Covalent, hydrogen-bond and hydrophobic interactions identified based on structure geometry and saved in files cov.in, hbonds.in, hphobes.in. hphobes.in has been edited to remove a phobic tether linking ALA285 of each chain and tethers linking LEU286 of one chain to THR280 of the other, as examination of the structure suggested that these tethers were not appropriate as a permanent constraint in the system. This bond analysis was carried out using the SBFIRST utility, a copy of which is included with this data set. The .in files are suitable for use as input to the rigidity analysis software FIRST, from Arizona State University. The stacked.in file is empty (would hold stacked-ring interactions in nucleic acid structures). Static rigidity analysis of the structure is carried out in the folder Clusters. Normal mode analysis identifying nontrivial low-frequency modes intrinsic to the structure is carried out in the folder Modes. Geometric simulations of flexible motion along the normal mode directions is carried out in the folder Runs, controlled by the bash script file loopFRODA.sh.

Technical details and requirements:

The Elnemo elastic network structure software is available online from http://www.sciences.univ-nantes.fr/elnemo/ The FIRST rigidity analysis software, including the FRODA geometric simulation engine, should be available from flexweb.asu.edu. If there are difficulties obtaining the software from this source, please contact Dr. Stephen Wells (saw42@bath.ac.uk) who can provide a copy of FIRST for academic users. The SBFIRST code for identication of covalent and noncovalent interactions in a protein structure is included in this collection of data. The Elnemo website includes comprehensive citations for the Elnemo elastic network method and software. The primary citation for the SBFIRST identification of interactions is DOI:10.1088/1478-3975/ab2b5c (MacManus, Wells, Walker 2019). The primary citation for the use of Elnemo/FIRST/FRODA in combination is DOI:10.1088/1478-3975/9/1/016008 (Jimenez-Roldan, Freedman, Roemer, Wells 2012) and a detailed discussion of the method can be found as DOI:10.1007/978-1-62703-658-0_10 (Wells 2014). The primary citation for the FRODA geometric simulation engine is DOI:10.1088/1478-3975/2/4/S07 (Wells, Menor, Hespenheide, Thorpe 2005). The primary citation for the FIRST rigidity analysis software is DOI:10.1002/prot.1081 (Jacobs, Rader, Kuhn, Thorpe 2001).

Additional information:

A folder for each protein structure contains subfolders for Clusters (containing static rigidity analysis), Modes (elastic network modelling) and Runs (geometric simulations of flexible motion). README files in each folder and subfolder provide additional details.

Documentation Files

README_structures_and_software
text/plain (1kB)
Creative Commons: Attribution 4.0

Master README file for project

README_6LU7
text/plain (1kB)
Creative Commons: Attribution 4.0

Processing details for the 6LU7 structure

README_6Y2E
text/plain (1kB)
Creative Commons: Attribution 4.0

Processing details for the 6Y2E structure

README_clusters
text/plain (1kB)
Creative Commons: Attribution 4.0

README for static rigidity analysis

README_modes
text/plain (1kB)
Creative Commons: Attribution 4.0

README for elastic network normal mode analysis

README_runs
text/plain (1kB)
Creative Commons: Attribution 4.0

README for geometric simulations of flexible motion

Funders

European Research Council (ERC)
https://doi.org/10.13039/501100000781

GROWMOF - Modelling of MOF Self-Assembley, Crystal Growth and Thin Film Formation
648283

Publication details

Publication date: 9 March 2020
by: University of Bath

Version: 1

DOI: https://doi.org/10.15125/BATH-00772

URL for this record: https://researchdata.bath.ac.uk/id/eprint/772

Related papers and books

Wells, S. A., 2020. Rigidity, normal modes and flexible motion of a SARS-CoV-2 (COVID-19) protease structure. bioRxiv. Available from: https://doi.org/10.1101/2020.03.10.986190.

Contact information

Please contact the Research Data Service in the first instance for all matters concerning this item.

Contact person: Stephen Wells

Departments:

Faculty of Engineering & Design
Chemical Engineering

Research Centres & Institutes
Centre for Photonics and Photonic Materials