Literature DB >> 17644818

APID2NET: unified interactome graphic analyzer.

Juan Hernandez-Toro1, Carlos Prieto, Javier De las Rivas.   

Abstract

MOTIVATION: Exploration and analysis of interactome networks at systems level requires unification of the biomolecular elements and annotations that come from many different high-throughput or small-scale proteomic experiments. Only such integration can provide a non-redundant and consistent identification of proteins and interactions. APID2NET is a new tool that works with Cytoscape to allow surfing unified interactome data by querying APID server (http://bioinfow.dep.usal.es/apid/) to provide interactive analysis of protein-protein interaction (PPI) networks. The program is designed to visualize, explore and analyze the proteins and interactions retrieved, including the annotations and attributes associated to them, such as: GO terms, InterPro domains, experimental methods that validate each interaction, PubMed IDs, UniProt IDs, etc. The tool provides interactive graphical representation of the networks with all Cytoscape capabilities, plus new automatic tools to find concurrent functional and structural attributes along all protein pairs in a network. AVAILABILITY: http://bioinfow.dep.usal.es/apid/apid2net.html. SUPPLEMENTARY INFORMATION: Installation Guide and User's Guide are supplied at the Web site indicated above.

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Year:  2007        PMID: 17644818     DOI: 10.1093/bioinformatics/btm373

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  34 in total

1.  In silico analyses of proteomic data suggest a role for heat shock proteins in umbilical cord blood hematopoietic stem cells.

Authors:  Angelo D'Alessandro; Giuliano Grazzini; Bruno Giardina; Lello Zolla
Journal:  Stem Cell Rev Rep       Date:  2010-12       Impact factor: 5.739

Review 2.  PIAS proteins: pleiotropic interactors associated with SUMO.

Authors:  Miia M Rytinki; Sanna Kaikkonen; Petri Pehkonen; Tiina Jääskeläinen; Jorma J Palvimo
Journal:  Cell Mol Life Sci       Date:  2009-06-13       Impact factor: 9.261

3.  Proteomic analysis of virus-host interactions in an infectious context using recombinant viruses.

Authors:  Anastassia V Komarova; Chantal Combredet; Laurène Meyniel-Schicklin; Manuel Chapelle; Grégory Caignard; Jean-Michel Camadro; Vincent Lotteau; Pierre-Olivier Vidalain; Frédéric Tangy
Journal:  Mol Cell Proteomics       Date:  2011-09-12       Impact factor: 5.911

Review 4.  Systems biology for molecular life sciences and its impact in biomedicine.

Authors:  Miguel Ángel Medina
Journal:  Cell Mol Life Sci       Date:  2012-08-19       Impact factor: 9.261

5.  Transcriptome profiling identifies p53 as a key player during calreticulin deficiency: Implications in lipid accumulation.

Authors:  Saurabh Vig; Puneet Talwar; Kirandeep Kaur; Rohit Srivastava; Arvind K Srivastava; Malabika Datta
Journal:  Cell Cycle       Date:  2015-05-06       Impact factor: 4.534

6.  Neurolysin knockout mice generation and initial phenotype characterization.

Authors:  Diogo M L P Cavalcanti; Leandro M Castro; José C Rosa Neto; Marilia Seelaender; Rodrigo X Neves; Vitor Oliveira; Fábio L Forti; Leo K Iwai; Fabio C Gozzo; Mihail Todiras; Ines Schadock; Carlos C Barros; Michael Bader; Emer S Ferro
Journal:  J Biol Chem       Date:  2014-04-09       Impact factor: 5.157

7.  Expression-based network biology identifies alteration in key regulatory pathways of type 2 diabetes and associated risk/complications.

Authors:  Urmi Sengupta; Sanchaita Ukil; Nevenka Dimitrova; Shipra Agrawal
Journal:  PLoS One       Date:  2009-12-07       Impact factor: 3.240

8.  Protein-protein interactions essentials: key concepts to building and analyzing interactome networks.

Authors:  Javier De Las Rivas; Celia Fontanillo
Journal:  PLoS Comput Biol       Date:  2010-06-24       Impact factor: 4.475

9.  Expression profile and specific network features of the apoptotic machinery explain relapse of acute myeloid leukemia after chemotherapy.

Authors:  Marco Ragusa; Giuseppe Avola; Rosario Angelica; Davide Barbagallo; Maria Rosa Guglielmino; Laura R Duro; Alessandra Majorana; Luisa Statello; Loredana Salito; Carla Consoli; Maria Grazia Camuglia; Cinzia Di Pietro; Giuseppe Milone; Michele Purrello
Journal:  BMC Cancer       Date:  2010-07-19       Impact factor: 4.430

10.  Dissecting the human plasma proteome and inflammatory response biomarkers.

Authors:  Sudipto Saha; Scott H Harrison; Jake Yue Chen
Journal:  Proteomics       Date:  2009-01       Impact factor: 3.984

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