Title
Protein complex analysis : from raw protein lists to protein interaction networks Protein complex analysis : from raw protein lists to protein interaction networks
Author
Faculty/Department
Faculty of Sciences. Biology
Faculty of Sciences. Chemistry
Faculty of Sciences. Mathematics and Computer Science
Faculty of Pharmaceutical, Biomedical and Veterinary Sciences . Biomedical Sciences
Publication type
article
Publication
New York, N.Y. ,
Subject
Biology
Human medicine
Computer. Automation
Source (journal)
Mass spectrometry reviews. - New York, N.Y., 1982, currens
Volume/pages
(2015) , p. 1-15
ISSN
0277-7037
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
The elucidation of molecular interaction networks is one of the pivotal challenges in the study of biology. Affinity purificationmass spectrometry and other co-complex methods have become widely employed experimental techniques to identify protein complexes. These techniques typically suffer from a high number of false negatives and false positive contaminants due to technical shortcomings and purification biases. To support a diverse range of experimental designs and approaches, a large number of computational methods have been proposed to filter, infer and validate protein interaction networks from experimental pull-down MS data. Nevertheless, this expansion of available methods complicates the selection of the most optimal ones to support systems biology-driven knowledge extraction. In this review, we give an overview of the most commonly used computational methods to process and interpret co-complex results, and we discuss the issues and unsolved problems that still exist within the field. © 2015 Wiley Periodicals, Inc. Mass Spec Rev 9999: XXXX, 2015.
E-info
https://repository.uantwerpen.be/docman/iruaauth/903a8b/129978.pdf
Handle