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Title
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Protein complex analysis : from raw protein lists to protein interaction networks
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Author
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Abstract
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| 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. |
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Language
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English
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Source (journal)
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Mass spectrometry reviews. - New York, N.Y., 1982, currens
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Publication
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Hoboken
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Wiley
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2017
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ISSN
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0277-7037
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DOI
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10.1002/MAS.21485
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Volume/pages
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36
:5
(2017)
, p. 600-614
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ISI
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000407931000003
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Pubmed ID
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26709718
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Full text (Publisher's DOI)
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Full text (open access)
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Full text (publisher's version - intranet only)
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