Evidence map›Paper›PMID 23300410›Full record

ArticlePLoS computational biology2012

Chapter 4: Protein interactions and disease.

Mileidy W Gonzalez, Maricel G Kann

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 127 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
127citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% 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

127 citing papers in PubMed, 1 synthesis or guideline pooled it, 278 citations in OpenAlex.

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  19. Glaucomatous retinal ganglion cells: death and protection.International journal of ophthalmology · 2025
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67 more citing papers are in PubMed but not listed here.

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

2 authors at 2 institutions in 1 country.

Mileidy W GonzalezNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, United States of America.
Maricel G Kann
National Center for Biotechnology Information · USUniversity of Maryland, Baltimore County · US

Funding

Informatic Profiling of Clinically Relevant MutationR01LM009722 · NLM · UNIVERSITY OF WASHINGTON · PI MOONEY, SEAN DAVID · 2007 to 2014
$3.5M
Protein domains as molecular units to unravel functional pathways of cancer genesK22CA143148 · NCI · UNIVERSITY OF MARYLAND BALTIMORE COUNTY · PI KANN, MARICEL G. · 2009 to 2011
$490k
Intramural NIH HHSNCI NIH HHS 1K22CA143148NCI NIH HHS K22 CA143148NLM NIH HHS R01 LM009722NLM NIH HHS R01LM009722
6 · The paper itself

Abstract

Proteins do not function in isolation; it is their interactions with one another and also with other molecules (e.g. DNA, RNA) that mediate metabolic and signaling pathways, cellular processes, and organismal systems. Due to their central role in biological function, protein interactions also control the mechanisms leading to healthy and diseased states in organisms. Diseases are often caused by mutations affecting the binding interface or leading to biochemically dysfunctional allosteric changes in proteins. Therefore, protein interaction networks can elucidate the molecular basis of disease, which in turn can inform methods for prevention, diagnosis, and treatment. In this chapter, we will describe the computational approaches to predict and map networks of protein interactions and briefly review the experimental methods to detect protein interactions. We will describe the application of protein interaction networks as a translational approach to the study of human disease and evaluate the challenges faced by these approaches.

Indexed as

DiseaseProtein BindingHumansMutation

Identifiers

PMID23300410
PMCPMC3531279
OpenAlexW1998222399

What OpenQuestion holds

Textmetadata
LicenceCC0
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.