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Main Title: Blind testing of cross-linking/mass spectrometry hybrid methods in CASP11
Author(s): Schneider, Michael
Belsom, Adam
Rappsilber, Juri
Brock, Oliver
Type: Article
Language Code: en
Abstract: Hybrid approaches combine computational methods with experimental data. The information contained in the experimental data can be leveraged to probe the structure of proteins otherwise elusive to computational methods. Compared with computational methods, the structures produced by hybrid methods exhibit some degree of experimental validation. In spite of these advantages, most hybrid methods have not yet been validated in blind tests, hampering their development. Here, we describe the first blind test of a specific cross-link based hybrid method in CASP. This blind test was coordinated by the CASP organizers and utilized a novel, high-density cross-linking/mass-spectrometry (CLMS) approach that is able to collect high-density CLMS data in a matter of days. This experimental protocol was developed in the Rappsilber laboratory. This approach exploits the chemistry of a highly reactive, photoactivatable cross-linker to produce an order of magnitude more cross-links than homobifunctional cross-linkers. The Rappsilber laboratory generated experimental CLMS data based on this protocol, submitted the data to the CASP organizers which then released this data to the CASP11 prediction groups in a separate, CLMS assisted modeling experiment. We did not observe a clear improvement of assisted models, presumably because the properties of the CLMS data-uncertainty in cross-link identification and residue-residue assignment, and uneven distribution over the protein-were largely unknown to the prediction groups and their approaches were not yet tailored to this kind of data. We also suggest modifications to the CLMS-CASP experiment and discuss the importance of rigorous blind testing in the development of hybrid methods. (C) 2016 The Authors Proteins: Structure, Function, and Bioinformatics Published by Wiley Periodicals, Inc.
Issue Date: 2016
Date Available: 14-Jul-2017
DDC Class: 570 Biowissenschaften; Biologie
Subject(s): blind test
hybrid methods
protein structure prediction
mass spectrometry
Journal Title: Proteins : structure, function, and bioinformatics
Publisher: Wiley
Publisher Place: Hoboken, NJ [u.a.]
Volume: 84
Publisher DOI: 10.1002/prot.25028
Page Start: 152
Page End: 163
EISSN: 1097-0134
ISSN: 0887-3585
Appears in Collections:FG Bioanalytik » Publications
FG Neue Materialien » Publications

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