Literature DB >> 29186335

The OncoPPi Portal: an integrative resource to explore and prioritize protein-protein interactions for cancer target discovery.

Andrei A Ivanov1,2, Brian Revennaugh1, Lauren Rusnak1, Valentina Gonzalez-Pecchi1, Xiulei Mo1, Margaret A Johns1, Yuhong Du1,2, Lee A D Cooper2,3,4, Carlos S Moreno2,3,5, Fadlo R Khuri2,6, Haian Fu1,2,6.   

Abstract

Motivation: As cancer genomics initiatives move toward comprehensive identification of genetic alterations in cancer, attention is now turning to understanding how interactions among these genes lead to the acquisition of tumor hallmarks. Emerging pharmacological and clinical data suggest a highly promising role of cancer-specific protein-protein interactions (PPIs) as druggable cancer targets. However, large-scale experimental identification of cancer-related PPIs remains challenging, and currently available resources to explore oncogenic PPI networks are limited.
Results: Recently, we have developed a PPI high-throughput screening platform to detect PPIs between cancer-associated proteins in the context of cancer cells. Here, we present the OncoPPi Portal, an interactive web resource that allows investigators to access, manipulate and interpret a high-quality cancer-focused network of PPIs experimentally detected in cancer cell lines. To facilitate prioritization of PPIs for further biological studies, this resource combines network connectivity analysis, mutual exclusivity analysis of genomic alterations, cellular co-localization of interacting proteins and domain-domain interactions. Estimates of PPI essentiality allow users to evaluate the functional impact of PPI disruption on cancer cell proliferation. Furthermore, connecting the OncoPPi network with the approved drugs and compounds in clinical trials enables discovery of new tumor dependencies to inform strategies to interrogate undruggable targets like tumor suppressors. The OncoPPi Portal serves as a resource for the cancer research community to facilitate discovery of cancer targets and therapeutic development. Availability and implementation: The OncoPPi Portal is available at http://oncoppi.emory.edu. Contact: andrey.ivanov@emory.edu or hfu@emory.edu.

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Year:  2018        PMID: 29186335      PMCID: PMC6030952          DOI: 10.1093/bioinformatics/btx743

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


  57 in total

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6.  A Proteome-wide Fission Yeast Interactome Reveals Network Evolution Principles from Yeasts to Human.

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Journal:  Cell       Date:  2016-01-14       Impact factor: 41.582

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Authors:  Wanjuan Yang; Jorge Soares; Patricia Greninger; Elena J Edelman; Howard Lightfoot; Simon Forbes; Nidhi Bindal; Dave Beare; James A Smith; I Richard Thompson; Sridhar Ramaswamy; P Andrew Futreal; Daniel A Haber; Michael R Stratton; Cyril Benes; Ultan McDermott; Mathew J Garnett
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Journal:  Nucleic Acids Res       Date:  2008-10-02       Impact factor: 16.971

9.  Correlating chemical sensitivity and basal gene expression reveals mechanism of action.

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Journal:  Nat Chem Biol       Date:  2015-12-14       Impact factor: 15.040

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Journal:  Database (Oxford)       Date:  2016-06-23       Impact factor: 3.451

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  12 in total

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Journal:  ACS Chem Biol       Date:  2018-05-02       Impact factor: 5.100

3.  The close interaction between hypoxia-related proteins and metastasis in pancarcinomas.

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4.  PanDrugs: a novel method to prioritize anticancer drug treatments according to individual genomic data.

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Journal:  Genome Med       Date:  2018-05-31       Impact factor: 11.117

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6.  miRTissue: a web application for the analysis of miRNA-target interactions in human tissues.

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7.  Discovery of Mcl-1 inhibitors from integrated high throughput and virtual screening.

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8.  Identification of genes associated with cancer progression and prognosis in lung adenocarcinoma: Analyses based on microarray from Oncomine and The Cancer Genome Atlas databases.

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10.  Pan-cancer mapping of differential protein-protein interactions.

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