Evidence map›Paper›PMID 28717235›Full record

ArticleScientific reports2017

Protein-protein binding selectivity and network topology constrain global and local properties of interface binding networks.

David O Holland, Benjamin H Shapiro, Pei Xue, Margaret E Johnson

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Identification of 14-3-3 Proteins as Binding Partners of TRP Channels.Journal of chemical information and modeling · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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.

David O HollandDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
Benjamin H ShapiroDepartment of Biophysics, Johns Hopkins University, Baltimore, Maryland, USA.
Pei XueDepartment of Biophysics, Johns Hopkins University, Baltimore, Maryland, USA.
Margaret E JohnsonDepartment of Biophysics, Johns Hopkins University, Baltimore, Maryland, USA. margaret.johnson@jhu.edu.ORCID 0000-0001-9881-291X

Funding

Modeling the nucleation of clathrin coated vesicles at the cell membraneR00GM098371 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI JOHNSON, MARGARET ELLEN · 2013 to 2015
$743k
NIGMS NIH HHS R00 GM098371
6 · The paper itself

Abstract

Protein-protein interactions networks (PPINs) are known to share a highly conserved structure across all organisms. What is poorly understood, however, is the structure of the child interface interaction networks (IINs), which map the binding sites proteins use for each interaction. In this study we analyze four independently constructed IINs from yeast and humans and find a conserved structure of these networks with a unique topology distinct from the parent PPIN. Using an IIN sampling algorithm and a fitness function trained on the manually curated PPINs, we show that IIN topology can be mostly explained as a balance between limits on interface diversity and a need for physico-chemical binding complementarity. This complementarity must be optimized both for functional interactions and against mis-interactions, and this selectivity is encoded in the IIN motifs. To test whether the parent PPIN shapes IINs, we compared optimal IINs in biological PPINs versus random PPINs. We found that the hubs in biological networks allow for selective binding with minimal interfaces, suggesting that binding specificity is an additional pressure for a scale-free-like PPIN. We confirm through phylogenetic analysis that hub interfaces are strongly conserved and rewiring of interactions between proteins involved in endocytosis preserves interface binding selectivity.

Indexed as

AlgorithmsBinding SitesComputational BiologyGene Regulatory NetworksHumansPhylogenyProtein BindingProtein Interaction MapsProteinsYeastsProteins

Identifiers

PMID28717235
PMCPMC5514078

What Socratic 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 Socratic graph.