Evidence map›Paper›PMID 25492630›Full record

ArticleBMC bioinformatics2014

Efficient prediction of human protein-protein interactions at a global scale.

Andrew Schoenrock, Bahram Samanfar, Sylvain Pitre, Mohsen Hooshyar, Ke Jin, Charles A Phillips, Hui Wang, Sadhna Phanse, Katayoun Omidi, Yuan Gui and 9 more

Abstract read
In one paragraph

Article in BMC bioinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

17 citing papers in PubMed.

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  14. Mapping and identification of a potential candidate gene for a novel maturity locus, E10, in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2017
    Article
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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

19 authors.

Andrew SchoenrockSchool of Computer Science, Carleton University, Ottawa, Canada. aschoenr@scs.carleton.ca.
Bahram SamanfarDepartment of Biology, Carleton University, Ottawa, Canada. bahramsamanfar@gmail.com.
Sylvain PitreSchool of Computer Science, Carleton University, Ottawa, Canada. sylverbullit@hotmail.com.
Mohsen HooshyarDepartment of Biology, Carleton University, Ottawa, Canada. mohsen.hooshyar@gmail.com.
Ke JinBanting and Best Department of Medical Research, University of Toronto, Toronto, Ontario, Canada. jin@utoronto.ca.
Charles A PhillipsDepartment of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, Tennessee, USA. cphillip@eecs.utk.edu.
Hui WangDepartment of Pediatrics, Gothenburg University, Gothenburg, Sweden. hui.wang@gu.se.
Sadhna PhanseBanting and Best Department of Medical Research, University of Toronto, Toronto, Ontario, Canada. srphanse@gmail.com.
Katayoun OmidiDepartment of Biology, Carleton University, Ottawa, Canada. katayoun10@yahoo.com.
Yuan GuiDepartment of Biology, Carleton University, Ottawa, Canada. yuangui2@hotmail.com.
Md AlamgirDepartment of Biology, Carleton University, Ottawa, Canada. md_alamgir@yahoo.com.
Alex WongDepartment of Biology, Carleton University, Ottawa, Canada. alex_wong@carleton.ca.
Fredrik BarrenäsDepartment of Pediatrics, Gothenburg University, Gothenburg, Sweden. fredrik.barrenas@pediat.gu.se.
Mohan BabuDepartment of Biochemistry, Research and Innovation Centre, University of Regina, Regina, Saskatchewan, Canada. mohanbabu_r@yahoo.com.
Mikael BensonDepartment of Pediatrics, Gothenburg University, Gothenburg, Sweden. mikael.benson@liu.se.
Michael A LangstonDepartment of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, Tennessee, USA. langston@eecs.utk.edu.
James R GreenDepartment of Systems and Computer Engineering, Carleton University, Ottawa, Canada. jrgreen@sce.carleton.ca.
Frank DehneSchool of Computer Science, Carleton University, Ottawa, Canada. frank@dehne.net.
Ashkan GolshaniDepartment of Biology, Carleton University, Ottawa, Canada. ashkan_golshani@carleton.ca.

Funding

Training/Education CoreP20MD000516 · NIMHD · MEHARRY MEDICAL COLLEGE · PI ZOOROB, ROGER J · 2003 to 2013
$14.2M
Data Structures, Algorithms and Tools for Ontological DiscoveryR01AA018776 · NIAAA · JACKSON LABORATORY · PI CHESLER, ELISSA J · 2010 to 2019
$3.9M
Canadian Institutes of Health ResearchNIAAA NIH HHS R01 AA018776NIAAA NIH HHS R01-AA-018776NIMHD NIH HHS 3P20MD000516-07S1NIMHD NIH HHS P20 MD000516
6 · The paper itself

Abstract

backgroundOur knowledge of global protein-protein interaction (PPI) networks in complex organisms such as humans is hindered by technical limitations of current methods.

resultsOn the basis of short co-occurring polypeptide regions, we developed a tool called MP-PIPE capable of predicting a global human PPI network within 3 months. With a recall of 23% at a precision of 82.1%, we predicted 172,132 putative PPIs. We demonstrate the usefulness of these predictions through a range of experiments.

conclusionsThe speed and accuracy associated with MP-PIPE can make this a potential tool to study individual human PPI networks (from genomic sequences alone) for personalized medicine.

Indexed as

Genome, HumanSoftwareComputational BiologyHumansProtein Interaction MappingProteinsProteomeProteinsProteome

Identifiers

PMID25492630
PMCPMC4272565

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.