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http://hdl.handle.net/1942/22782
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DC Field | Value | Language |
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dc.contributor.author | Meysman, Pieter | - |
dc.contributor.author | Titeca, Kevin | - |
dc.contributor.author | Eyckerman, Sven | - |
dc.contributor.author | Tavernier, Jan | - |
dc.contributor.author | GOETHALS, Bart | - |
dc.contributor.author | Martens, Lennart | - |
dc.contributor.author | VALKENBORG, Dirk | - |
dc.contributor.author | Laukens, Kris | - |
dc.date.accessioned | 2016-11-28T12:51:02Z | - |
dc.date.available | 2016-11-28T12:51:02Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | MASS SPECTROMETRY REVIEWS, 36 (5), p. 600-614 | - |
dc.identifier.issn | 0277-7037 | - |
dc.identifier.uri | http://hdl.handle.net/1942/22782 | - |
dc.description.abstract | The elucidation of molecular interaction networks is one of the pivotal challenges in the study of biology. Affinity purification—mass 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 | - |
dc.description.sponsorship | This work was supported by the Research Foundation-Flanders (FWO) project “Evolving graphs” (G.0903.13N); and the agency for Innovation by Science and Technology (IWT) SBO project “InSPECtor” (120025) and a personal grant to KT. | - |
dc.language.iso | en | - |
dc.rights | © 2015 Wiley Periodicals, Inc. | - |
dc.subject.other | bioinformatics; co-complex purification; protein–protein interaction networks | - |
dc.title | Protein complex analysis: From raw protein lists to protein interaction networks | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 614 | - |
dc.identifier.issue | 5 | - |
dc.identifier.spage | 600 | - |
dc.identifier.volume | 36 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Meysman, P (reprint author), Univ Antwerp, Dept Math & Comp Sci, ADReM, Middelheimlaan 1, Antwerp, Belgium. pieter.meysman@uantwerpen.be | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
local.bibliographicCitation.status | In Press | - |
dc.identifier.doi | 10.1002/mas.21485 | - |
dc.identifier.isi | 000407931000003 | - |
item.fullcitation | Meysman, Pieter; Titeca, Kevin; Eyckerman, Sven; Tavernier, Jan; GOETHALS, Bart; Martens, Lennart; VALKENBORG, Dirk & Laukens, Kris (2015) Protein complex analysis: From raw protein lists to protein interaction networks. In: MASS SPECTROMETRY REVIEWS, 36 (5), p. 600-614. | - |
item.validation | ecoom 2018 | - |
item.contributor | Meysman, Pieter | - |
item.contributor | Titeca, Kevin | - |
item.contributor | Eyckerman, Sven | - |
item.contributor | Tavernier, Jan | - |
item.contributor | GOETHALS, Bart | - |
item.contributor | Martens, Lennart | - |
item.contributor | VALKENBORG, Dirk | - |
item.contributor | Laukens, Kris | - |
item.fulltext | With Fulltext | - |
item.accessRights | Open Access | - |
crisitem.journal.issn | 0277-7037 | - |
crisitem.journal.eissn | 1098-2787 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Meysman-2015-Mass Spectormetry Reviews-Protein complex analysis.pdf | Peer-reviewed author version | 399.46 kB | Adobe PDF | View/Open |
Meysman_et_al-2017-Mass_Spectrometry_Reviews.pdf Restricted Access | Published version | 451.64 kB | Adobe PDF | View/Open Request a copy |
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