Galaxy InteractoMIX: An Integrated Computational Platform for the Study of Protein–Protein Interaction Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F21%3A00121019" target="_blank" >RIV/00216224:14310/21:00121019 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.jmb.2020.09.015" target="_blank" >https://doi.org/10.1016/j.jmb.2020.09.015</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jmb.2020.09.015" target="_blank" >10.1016/j.jmb.2020.09.015</a>
Alternative languages
Result language
angličtina
Original language name
Galaxy InteractoMIX: An Integrated Computational Platform for the Study of Protein–Protein Interaction Data
Original language description
Protein interactions play a crucial role among the different functions of a cell and are central to our understanding of cellular processes both in health and disease. Here we present Galaxy InteractoMIX (http://galaxy.interactomix.com), a platform composed of 13 different computational tools each addressing specific aspects of the study of protein–protein interactions, ranging from large-scale cross-species protein-wide interactomes to atomic resolution level of protein complexes. Galaxy InteractoMIX provides an intuitive interface where users can retrieve consolidated interactomics data distributed across several databases or uncover links between diseases and genes by analyzing the interactomes underlying these diseases. The platform makes possible large-scale prediction and curation protein interactions using the conservation of motifs, interology, or presence or absence of key sequence signatures. The range of structure-based tools includes modeling and analysis of protein complexes, delineation of interfaces and the modeling of peptides acting as inhibitors of protein–protein interactions. Galaxy InteractoMIX includes a range of ready-to-use workflows to run complex analyses requiring minimal intervention by users. The potential range of applications of the platform covers different aspects of life science, biomedicine, biotechnology and drug discovery where protein associations are studied.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10608 - Biochemistry and molecular biology
Result continuities
Project
<a href="/en/project/EF16_027%2F0008360" target="_blank" >EF16_027/0008360: Postdoc@MUNI</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Molecular Biology
ISSN
0022-2836
e-ISSN
1089-8638
Volume of the periodical
433
Issue of the periodical within the volume
11
Country of publishing house
GB - UNITED KINGDOM
Number of pages
11
Pages from-to
166656
UT code for WoS article
000648520800004
EID of the result in the Scopus database
2-s2.0-85091901427