ComMap: a software to perform large-scale structure-based mapping for cross-linking mass spectrometry

Author:

Zhang Weijie12ORCID,Shan Yichu1,Zhao Lili12,Liang Zhen1,Liu Chao3,Zhang Lihua1ORCID,Zhang Yukui1

Affiliation:

1. CAS Key Laboratory of Separation Science for Analytical Chemistry, National Chromatographic R. & A. Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences , Dalian, Liaoning 116023, China

2. University of Chinese Academy of Sciences , Beijing 100039, China

3. School of Engineering Medicine and School of Biological Science and Medical Engineering, Beihang University , Beijing 100191, China

Abstract

AbstractMotivationChemical cross-linking combined with mass spectrometry (CXMS) is now a well-established method for profiling existing protein–protein interactions (PPIs) with partially known structures. It is expected to map the results of CXMS with existing structure databases to study the protein dynamic profile in the structure analysis. However, currently available structure-based analysis software suffers from the difficulty of achieving large-scale analysis. Besides, it is infeasible for structure analysis and data mining on a large scale, since of lacking global measurement of dynamic structure mapping results.ResultsComMap (protein complex structure mapping) is a software designed to perform large-scale structure-based mapping by integrating CXMS data with existing structures. It allows complete the distance calculation of PPIs with existing structures in batch within minutes and provides scores for different PPI-structure pairs of testable hypothetical structural dynamism via a global view.Supplementary informationSupplementary data are available at Bioinformatics online.

Funder

National Natural Science Foundation

National Key R&D Program of China

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Reference10 articles.

1. Modeling protein excited-state structures from “over-length” chemical cross-links;Ding;J. Biol. Chem,2017

2. xiView: A common platform for the downstream analysis of crosslinking mass spectrometry data;Graham;bioRxiv,2019

3. First community-wide, comparative cross-linking mass spectrometry study;Iacobucci;Anal. Chem,2019

4. High-density chemical cross-linking for modeling protein interactions;Mintseris;Proc. Natl. Acad. Sci. USA,2020

5. ProXL (protein cross-linking database): A platform for analysis, visualization, and sharing of protein cross-linking mass spectrometry data;Riffle;J. Proteome Res,2016

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