Evidence map›Paper›PMID 29186335›Full record

ArticleBioinformatics (Oxford, England)2018

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

Andrei A Ivanov, Brian Revennaugh, Lauren Rusnak, Valentina Gonzalez-Pecchi, Xiulei Mo, Margaret A Johns, Yuhong Du, Lee A D Cooper, Carlos S Moreno, Fadlo R Khuri and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 53 citations in OpenAlex.

  1. Review
  2. Target discovery and drug design in the era of artificial intelligence.Medicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents · 2026
    Review
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  13. Review
  14. The permissive binding theory of cancer.Frontiers in oncology · 2023
    Article
  15. Review
  16. Review
  17. Expression ofTranslational cancer research · 2022
    Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Andrei A IvanovDepartment of Pharmacology and Emory Chemical Biology Discovery Center, Emory University School of Medicine.
Brian RevennaughDepartment of Pharmacology and Emory Chemical Biology Discovery Center, Emory University School of Medicine.
Lauren RusnakDepartment of Pharmacology and Emory Chemical Biology Discovery Center, Emory University School of Medicine.
Valentina Gonzalez-PecchiDepartment of Pharmacology and Emory Chemical Biology Discovery Center, Emory University School of Medicine.
Xiulei MoDepartment of Pharmacology and Emory Chemical Biology Discovery Center, Emory University School of Medicine.
Margaret A JohnsDepartment of Pharmacology and Emory Chemical Biology Discovery Center, Emory University School of Medicine.
Yuhong DuDepartment of Pharmacology and Emory Chemical Biology Discovery Center, Emory University School of Medicine.
Lee A D CooperWinship Cancer Institute of Emory University.
Carlos S MorenoWinship Cancer Institute of Emory University.
Fadlo R KhuriWinship Cancer Institute of Emory University.
Haian FuDepartment of Pharmacology and Emory Chemical Biology Discovery Center, Emory University School of Medicine.
Emory University · US

Funding

Winship Cancer Institute Cancer Center Support GrantP30CA138292 · NCI · EMORY UNIVERSITY · PI Suresh S Ramalingam · 2009 to 2026
$47.5M
Systematic discovery of neomorph protein-protein interactions in cancer for oncogenic pathway perturbationU01CA217875 · NCI · EMORY UNIVERSITY · PI FU, HAIAN · 2017 to 2021
$4.5M
HIGH THROUGHPUT PROTEIN-PROTEIN INTERACTION INTERROGATION IN CANCERU01CA168449 · NCI · EMORY UNIVERSITY · PI FU, HAIAN · 2012 to 2016
$4.2M
NCI NIH HHS P30 CA138292NCI NIH HHS U01 CA168449NCI NIH HHS U01 CA217875
6 · The paper itself

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.

Indexed as

Cloud ComputingHumansInternetNeoplasm ProteinsNeoplasmsProtein Interaction MappingNeoplasm Proteins

Identifiers

PMID29186335
PMCPMC6030952
OpenAlexW2768780018

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.