ORCID: https://orcid.org/0000-0001-8270-1449
(2017):
compleXView: a server for the interpretation of protein abundance and connectivity information to identify protein complexes.
In: Nucleic acids research, Vol. 45, No. W1: W276-W284
[PDF, 4MB]
Abstract
The molecular understanding of cellular processes requires the identification and characterization of the involved protein complexes. Affinity-purification and mass spectrometric analysis (AP-MS) are performed on a routine basis to detect proteins assembled in complexes. In particular, protein abundances obtained by quantitative mass spectrometry and direct protein contacts detected by crosslinking and mass spectrometry (XL-MS) provide complementary datasets for revealing the composition, topology and interactions of modules in a protein network. Here, we aim to combine quantitative and connectivity information by a webserver tool in order to infer protein complexes. In a first step, modeling protein abundances and functional annotations from Gene Ontology (GO) results in a network which, in a second step, is integrated with connectivity data from XL-MS analysis in order to complement and validate the protein complexes in the network. The output of our integrative approach is a quantitative protein interaction map which is supplemented with topological information of the detected protein complexes. compleXView is built up by two independent modules which are dedicated to the analysis of label-free AP-MS data and to the visualization of the detected complexes in a network together with crosslink-derived distance restraints. compleXView is available to all users without login requirements at http://xvis.genzentrum.lmu.de/compleXView.
Item Type: | Journal article |
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EU Funded Grant Agreement Number: | 638218 |
EU Projects: | Horizon 2020 > ERC Grants > ERC Starting Grant > ERC Grant 638218: MolStruKT - Molecular structure and cell cycle regulated assembly of the kinetochore |
Faculties: | Chemistry and Pharmacy > Department of Biochemistry Chemistry and Pharmacy > GeneCenter |
Subjects: | 500 Science > 540 Chemistry |
URN: | urn:nbn:de:bvb:19-epub-76123-9 |
Language: | English |
Item ID: | 76123 |
Date Deposited: | 01. Jun 2021 07:45 |
Last Modified: | 01. Jun 2021 10:45 |