Publication
Title
Protein complex analysis : from raw protein lists to protein interaction networks
Author
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.
Language
English
Source (journal)
Mass spectrometry reviews. - New York, N.Y., 1982, currens
Publication
New York, N.Y. : 2015
ISSN
0277-7037
Volume/pages
(2015), p. 1-15
Full text (Publishers DOI)
Full text (open access)
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UAntwerpen
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Affiliation
Publications with a UAntwerp address
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Creation 06.01.2016
Last edited 30.12.2016
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