Evidence map›Paper›PMID 28912495›Full record

ArticleScientific reports2017

Global organization of a binding site network gives insight into evolution and structure-function relationships of proteins.

Juyong Lee, Janez Konc, Dušanka Janežič, Bernard R Brooks

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Juyong LeeDepartment of Chemistry, Kangwon National University, 1 Kangwondaehak-gil, Chuncheon, 24341, Republic of Korea. juyong.lee@nih.gov.ORCID 0000-0003-1174-4358
Janez KoncFaculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, Glagoljaška 8, SI-6000, Koper, Slovenia.
Dušanka JanežičFaculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, Glagoljaška 8, SI-6000, Koper, Slovenia.
Bernard R BrooksLaboratory of Computational Biology, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, 20892, United States.

Funding

Development Of Theoretical Methods For Studying Biological MacromoleculesZIAHL001051 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI BROOKS, BERNARD R · 2009 to 2025
$16.2M
Molecular Dynamics Simulations of MacromoleculesZ01HL001050 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI BROOKS, BERNARD R · 1998 to 2008
$1.4M
Intramural NIH HHS Z01 HL001050
6 · The paper itself

Abstract

The global organization of protein binding sites is analyzed by constructing a weighted network of binding sites based on their structural similarities and detecting communities of structurally similar binding sites based on the minimum description length principle. The analysis reveals that there are two central binding site communities that play the roles of the network hubs of smaller peripheral communities. The sizes of communities follow a power-law distribution, which indicates that the binding sites included in larger communities may be older and have been evolutionary structural scaffolds of more recent ones. Structurally similar binding sites in the same community bind to diverse ligands promiscuously and they are also embedded in diverse domain structures. Understanding the general principles of binding site interplay will pave the way for improved drug design and protein design.

Indexed as

Binding SitesBiological EvolutionModels, MolecularProtein BindingProtein ConformationProtein DomainsProteinsStructure-Activity RelationshipProteins

Identifiers

PMID28912495
PMCPMC5599562

What OpenQuestion holds

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LicenceCC BY
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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.