Evidence map›Paper›PMID 27071107›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Dynamical network of residue-residue contacts reveals coupled allosteric effects in recognition, catalysis, and mutation.

Urmi Doshi, Michael J Holliday, Elan Z Eisenmesser, Donald Hamelberg

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers.

0numbers the graph read from it
0cells of the map it votes in
90citing 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

90 citing papers in PubMed.

  1. Article
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  9. A protein dynamics-based deep learning model enhances predictions of fitness and epistasis.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Article
  11. Evolutionary rewiring of the dynamic network underpinning allosteric epistasis in NS1 of the influenza A virus.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  12. Article
  13. BaNDyT: Bayesian Network modeling of molecular Dynamics Trajectories.bioRxiv : the preprint server for biology · 2024
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30 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

4 authors.

Urmi DoshiDepartment of Chemistry, Georgia State University, Atlanta, GA 30302;
Michael J HollidayDepartment of Biochemistry and Molecular Genetics, University of Colorado Denver, Aurora, CO 80045.
Elan Z EisenmesserDepartment of Biochemistry and Molecular Genetics, University of Colorado Denver, Aurora, CO 80045.
Donald HamelbergDepartment of Chemistry, Georgia State University, Atlanta, GA 30302; dhamelberg@gsu.edu.

Funding

Combining chemical shift-based and experimental approaches to study enzyme dynamiR01GM107262 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI EISENMESSER, ELAN Z · 2014 to 2017
$1.2M
NIGMS NIH HHS R01 GM107262
6 · The paper itself

Abstract

Detailed understanding of how conformational dynamics orchestrates function in allosteric regulation of recognition and catalysis remains ambiguous. Here, we simulate CypA using multiple-microsecond-long atomistic molecular dynamics in explicit solvent and carry out NMR experiments. We analyze a large amount of time-dependent multidimensional data with a coarse-grained approach and map key dynamical features within individual macrostates by defining dynamics in terms of residue-residue contacts. The effects of substrate binding are observed to be largely sensed at a location over 15 Å from the active site, implying its importance in allostery. Using NMR experiments, we confirm that a dynamic cluster of residues in this distal region is directly coupled to the active site. Furthermore, the dynamical network of interresidue contacts is found to be coupled and temporally dispersed, ranging over 4 to 5 orders of magnitude. Finally, using network centrality measures we demonstrate the changes in the communication network, connectivity, and influence of CypA residues upon substrate binding, mutation, and during catalysis. We identify key residues that potentially act as a bottleneck in the communication flow through the distinct regions in CypA and, therefore, as targets for future mutational studies. Mapping these dynamical features and the coupling of dynamics to function has crucial ramifications in understanding allosteric regulation in enzymes and proteins, in general.

Indexed as

Models, ChemicalMolecular Dynamics SimulationAmino AcidsBinding SitesCatalysisCyclophilin AMagnetic Resonance SpectroscopyMutationProtein BindingProtein ConformationStructure-Activity RelationshipAmino AcidsCyclophilin AallosteryCyclophilin Aenzyme dynamicsmolecular dynamicsresidue–residue contacts

Identifiers

PMID27071107
PMCPMC4855540

What OpenQuestion holds

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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.