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PyXlinkViewer: A flexible tool for visualization of protein chemical crosslinking data within the PyMOL molecular graphics system
- 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.
- Subjects :
- Models, Molecular
Computer science
Protein Conformation
macromolecular substances
Biochemistry
Molecular graphics
Set (abstract data type)
03 medical and health sciences
Data visualization
Protein structure
data visualization
Molecular Biology
030304 developmental biology
mass spectrometry
0303 health sciences
Tools for Protein Science
business.industry
030302 biochemistry & molecular biology
technology, industry, and agriculture
Proteins
chemical crosslinking
Visualization
PyMOL
Macromolecular Complexes
Biological system
business
Software
Subjects
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