PyXlinkViewer: A flexible tool for visualization of protein chemical crosslinking data within the PyMOL molecular graphics system. (3rd July 2020)

• Record Type: Journal Article
• Authors: Schiffrin, Bob; Radford, Sheena E.; Brockwell, David J.; Calabrese, Antonio N.
• Is Part Of: Protein science. Volume 29:Number 8(2020)
• Page Start: 1851
• Page End: 1857
• Publication Date: 2020-07-03
• Subjects: chemical crosslinking -- data visualization -- mass spectrometry -- PyMOL; Proteins -- Periodicals; 572.6
• DOI: 10.1002/pro.3902
• Languages: English
• ISSNs: 0961-8368

Abstract

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 yield 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 visualization 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.