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  DIsulfide Mapping PLanner Software Tool

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

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 Creators:
Kist, Andreas M.1, Author           
Lampert, Angelika, Author
O'Reilly, Andrias O., Author
Affiliations:
1Max Planck Research Group: Sensorimotor Control / Portugues, MPI of Neurobiology, Max Planck Society, ou_2054291              

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Free keywords: MASS-SPECTROMETRY; CONNECTIVITY PREDICTION; SERVERBiochemistry & Molecular Biology; Biotechnology & Applied Microbiology; Computer Science; Mathematical & Computational Biology; Mathematics; disulfide bridge; disulfide mapping; mass spectrometry; protein structure; web tool;
 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.

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Language(s): eng - English
 Dates: 2018
 Publication Status: Issued
 Pages: 5
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISI: 000432196900006
DOI: 10.1089/cmb.2017.0129
 Degree: -

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Title: Journal of Computational Biology
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: New York, NY : Mary Ann Liebert
Pages: - Volume / Issue: 25 (4) Sequence Number: - Start / End Page: 430 - 434 Identifier: ISSN: 1066-5277
CoNE: https://pure.mpg.de/cone/journals/resource/954925275499