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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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