DIsulfide Mapping PLanner Software Tool

Kist AM, Lampert A, O'Reilly AO (2018)

Publication Type: Journal article

Publication year: 2018

Journal

Journal of Computational Biology Mary Ann Liebert

Book Volume: 25

Pages Range: 430-434

Journal Issue: 4

DOI: 10.1089/cmb.2017.0129

Abstract

Disulfide bridges are side-chain-mediated covalent bonds between cysteines that stabilize many protein structures. Disulfide mapping experiments to resolve these linkages typically involve proteolytic cleavage of the protein of interest followed by mass spectroscopy to identify fragments corresponding to linked peptides. Here we report the sequence-based "DIMPL" web tool to facilitate the planning and analysis steps of experimental mapping studies. The software tests permutations of user-selected proteases to determine an optimal peptic digest that produces cleavage between cysteine residues, thus separating each to an individual peptide fragment. The webserver returns fragment sequence and mass data that can be dynamically ordered to enable straightforward comparative analysis with mass spectroscopy results, facilitating dipeptide identification.

Authors with CRIS profile

Andreas Kist
Angelika Lampert Lehrstuhl für Physiologie

Involved external institutions

Max-Planck-Institut für Neurobiologie / Max Planck Institute of Neurobiology

Germany (DE) Liverpool John Moores University (JMU)

United Kingdom (GB)

How to cite

APA:

Kist, A.M., Lampert, A., & O'Reilly, A.O. (2018). DIsulfide Mapping PLanner Software Tool. Journal of Computational Biology, 25(4), 430-434. https://dx.doi.org/10.1089/cmb.2017.0129

MLA:

Kist, Andreas M., Angelika Lampert, and Andrias O. O'Reilly. "DIsulfide Mapping PLanner Software Tool." Journal of Computational Biology 25.4 (2018): 430-434.

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