Evidence map›Paper›PMID 17957766›Full record

ArticleProteins2008

Contact rearrangements form coupled networks from local motions in allosteric proteins.

Michael D Daily, Tarak J Upadhyaya, Jeffrey J Gray

Abstract read
In one paragraph

Article in Proteins, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

49 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Protein conformational switch discerned via network centrality properties.Computational and structural biotechnology journal · 2021
    Article
  7. Article
  8. Review
  9. Article
  10. Self-organization, entropy and allostery.Biochemical Society transactions · 2018
    Review
  11. Green function of correlated genes in a minimal mechanical model of protein evolution.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Strain analysis of protein structures and low dimensionality of mechanical allosteric couplings.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  18. Review
  19. Review
  20. 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

3 authors.

Michael D DailyProgram in Molecular and Computational Biophysics, Johns Hopkins University, Baltimore, Maryland 21218, USA.
Tarak J Upadhyaya
Jeffrey J Gray

Funding

Prediction of the Structure of Therapeutic Antibodies with their AntigensR01GM078221 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI GRAY, JEFFREY J · 2006 to 2020
$4.0M
Computational Prediction of Protein-Protein DockingK01HG002316 · NHGRI · UNIVERSITY OF WASHINGTON · PI GRAY, JEFFREY J · 2001 to 2005
$686k
NHGRI NIH HHS K01 HG002316NHGRI NIH HHS K01-HG02316NIGMS NIH HHS R01 GM078221NIGMS NIH HHS R01-GM078221
6 · The paper itself

Abstract

Allosteric proteins bind an effector molecule at one site resulting in a functional change at a second site. We hypothesize that networks of contacts altered, formed, or broken are a significant contributor to allosteric communication in proteins. In this work, we identify which interactions change significantly between the residue-residue contact networks of two allosteric structures, and then organize these changes into graphs. We perform the analysis on 15 pairs of allosteric structures with effector and substrate each present in at least one of the two structures. Most proteins exhibit large, dense regions of contact rearrangement, and the graphs form connected paths between allosteric effector and substrate sites in five of these proteins. In the remaining 10 proteins, large-scale conformational changes such as rigid-body motions are likely required in addition to contact rearrangement networks to account for substrate-effector communication. On average, clusters which contain at least one substrate or effector molecule comprise 20% of the protein. These allosteric graphs are small worlds; that is, they typically have mean shortest path lengths comparable to those of corresponding random graphs and average clustering coefficients enhanced relative to those of random graphs. The networks capture 60-80% of known allostery-perturbing mutants in three proteins, and the metrics degree and closeness are statistically good discriminators of mutant residues from nonmutant residues within the networks in two of these three proteins. For two proteins, coevolving clusters of residues which have been hypothesized to be allosterically important differ from the regions with the most contact rearrangement. Residues and contacts which modulate normal mode fluctuations also often participate in the contact rearrangement networks. In summary, residue-residue contact rearrangement networks provide useful representations of the portions of allosteric pathways resulting from coupled local motions.

Indexed as

Allosteric RegulationAllosteric SiteMetabolic Networks and PathwaysModels, ChemicalMotionProteinsProteins

Identifiers

PMID17957766
PMCPMC5009369

What OpenQuestion holds

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Registered trials

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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.