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PyXlinkViewer: A flexible tool for visualization of protein chemical crosslinking data within the PyMOL molecular graphics system

Authors :
David J. Brockwell
Bob Schiffrin
Antonio N. Calabrese
Sheena E. Radford
Source :
Protein Science : A Publication of the Protein Society
Publication Year :
2020
Publisher :
John Wiley & Sons, Inc., 2020.

Abstract

Chemical crosslinking-mass spectrometry (XL-MS) is a valuable technique for gaining insights into protein structure and the organization of macromolecular complexes. XL-MS data yields inter-residue restraints that can be compared with high-resolution structural data. Distances greater than the crosslinker spacer-arm can reveal lowly-populated “excited” states of proteins/protein assemblies, or crosslinks can be used as restraints to generate structural models in the absence of structural data. Despite increasing uptake of XL-MS, there are few tools to enable rapid and facile mapping of XL-MS data onto high-resolution structures or structural models. PyXlinkViewer is a user-friendly plugin for PyMOL v2 that maps intra-protein, inter-protein and dead-end crosslinks onto protein structures/models and automates the calculation of inter-residue distances for the detected crosslinks. This enables rapid visualisation of XL-MS data, assessment of whether a set of detected crosslinks is congruent with structural data, and easy production of high-quality images for publication.

Details

Language :
English
ISSN :
1469896X and 09618368
Volume :
29
Issue :
8
Database :
OpenAIRE
Journal :
Protein Science : A Publication of the Protein Society
Accession number :
edsair.doi.dedup.....a1662c2efdd1b4333c0953be2cb7d1cd