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OpenPIP: An Open-source Platform for Hosting, Visualizing and Analyzing Protein Interaction Data.
Helmy, Mohamed; Mee, Miles; Ranjan, Aniket; Hao, Tong; Vidal, Marc; Calderwood, Michael A; Luck, Katja; Bader, Gary D.
Afiliação
  • Helmy M; Department of Computer Science, Lakehead University, Thunder Bay, ON, Canada.
  • Mee M; Ontario Institute for Cancer Research, Toronto, ON, Canada.
  • Ranjan A; Indian Institute of Technology, Kharagpur, India.
  • Hao T; Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute (DFCI), Boston, MA, USA; Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA; Department of Cancer Biology, Dana-Farber Cancer Institute (DFCI), Boston, MA, USA.
  • Vidal M; Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute (DFCI), Boston, MA, USA; Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA.
  • Calderwood MA; Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute (DFCI), Boston, MA, USA; Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA; Department of Cancer Biology, Dana-Farber Cancer Institute (DFCI), Boston, MA, USA.
  • Luck K; Institute of Molecular Biology (IMB), Mainz, Germany.
  • Bader GD; The Donnelly Centre, University of Toronto, Toronto, ON, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada; Department of Computer Science, University of Toronto, Toronto, ON, Canada; Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada;
J Mol Biol ; 434(11): 167603, 2022 06 15.
Article em En | MEDLINE | ID: mdl-35662469
ABSTRACT
Knowing which proteins interact with each other is essential information for understanding how most biological processes at the cellular and organismal level operate and how their perturbation can cause disease. Continuous technical and methodological advances over the last two decades have led to many genome-wide systematically-generated protein-protein interaction (PPI) maps. To help store, visualize, analyze and disseminate these specialized experimental datasets via the web, we developed the freely-available Open-source Protein Interaction Platform (openPIP) as a customizable web portal designed to host experimental PPI maps. Such a portal is often required to accompany a paper describing the experimental data set, in addition to depositing the data in a standard repository. No coding skills are required to set up and customize the database and web portal. OpenPIP has been used to build the databases and web portals of two major protein interactome maps, the Human and Yeast Reference Protein Interactome maps (HuRI and YeRI, respectively). OpenPIP is freely available as a ready-to-use Docker container for hosting and sharing PPI data with the scientific community at http//openpip.baderlab.org/ and the source code can be downloaded from https//github.com/BaderLab/openPIP/.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Mapas de Interação de Proteínas / Uso da Internet Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Mapas de Interação de Proteínas / Uso da Internet Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article