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Galaxy InteractoMIX: An Integrated Computational Platform for the Study of Protein-Protein Interaction Data.
Mirela-Bota, Patricia; Aguirre-Plans, Joaquim; Meseguer, Alberto; Galletti, Cristiano; Segura, Joan; Planas-Iglesias, Joan; Garcia-Garcia, Javi; Guney, Emre; Oliva, Baldo; Fernandez-Fuentes, Narcis.
Affiliation
  • Mirela-Bota P; Department of Biosciences, U Science Tech, Universitat de Vic-Universitat Central de Catalunya, Vic, Catalonia 08500, Spain; Structural Bioinformatics Group, Research Programme on Biomedical Informatics, Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Catalonia 0
  • Aguirre-Plans J; Structural Bioinformatics Group, Research Programme on Biomedical Informatics, Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Catalonia 08003, Spain.
  • Meseguer A; Structural Bioinformatics Group, Research Programme on Biomedical Informatics, Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Catalonia 08003, Spain.
  • Galletti C; Department of Biosciences, U Science Tech, Universitat de Vic-Universitat Central de Catalunya, Vic, Catalonia 08500, Spain.
  • Segura J; Research Collaboratory for Structural Bioinformatics, Protein Data Bank, San Diego Supercomputer Center, University of California, San Diego, La Jolla, CA 92093, USA.
  • Planas-Iglesias J; Loschmidt Laboratories, Department of Experimental Biology, Faculty of Science, Masaryk University, Kamenice 5/a13, 625 00 Brno, Czech Republic.
  • Garcia-Garcia J; Structural Bioinformatics Group, Research Programme on Biomedical Informatics, Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Catalonia 08003, Spain.
  • Guney E; Integrative Biomedical Informatics Group, Research Programme on Biomedical Informatics, Hospital del Mar Medical Research Institute, Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Catalonia 08003, Spain.
  • Oliva B; Structural Bioinformatics Group, Research Programme on Biomedical Informatics, Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Catalonia 08003, Spain. Electronic address: baldo.oliva@upf.edu.
  • Fernandez-Fuentes N; Department of Biosciences, U Science Tech, Universitat de Vic-Universitat Central de Catalunya, Vic, Catalonia 08500, Spain; Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, SY233EB Aberystwyth, United Kingdom. Electronic address: narcis.fernandez@gmail.com.
J Mol Biol ; 433(11): 166656, 2021 05 28.
Article in En | MEDLINE | ID: mdl-32976910
ABSTRACT
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Computational Biology / Protein Interaction Mapping Type of study: Prognostic_studies Language: En Journal: J Mol Biol Year: 2021 Document type: Article Country of publication: HOLANDA / HOLLAND / NETHERLANDS / NL / PAISES BAJOS / THE NETHERLANDS

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Computational Biology / Protein Interaction Mapping Type of study: Prognostic_studies Language: En Journal: J Mol Biol Year: 2021 Document type: Article Country of publication: HOLANDA / HOLLAND / NETHERLANDS / NL / PAISES BAJOS / THE NETHERLANDS