Evidence map›Paper›PMID 28190781›Full record

ArticleStructure (London, England : 1993)2017

Predicting Protein Dynamics and Allostery Using Multi-Protein Atomic Distance Constraints.

Joe G Greener, Ioannis Filippis, Michael J E Sternberg

Abstract read
In one paragraph

Article in Structure (London, England : 1993), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Targeting TUBG1 in RB1-negative tumors.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Article
  3. Protein Multiple Conformation Prediction Using Multi-Objective Evolution Algorithm.Interdisciplinary sciences, computational life sciences · 2024
    Article
  4. Article
  5. Julia for biologists.Nature methods · 2023
    Review
  6. Machine learning and protein allostery.Trends in biochemical sciences · 2023
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Joe G GreenerCentre for Integrative Systems Biology and Bioinformatics, Department of Life Sciences, Imperial College London, London SW7 2AZ, UK. Electronic address: joe.greener13@imperial.ac.uk.
Ioannis FilippisCentre for Integrative Systems Biology and Bioinformatics, Department of Life Sciences, Imperial College London, London SW7 2AZ, UK.
Michael J E SternbergCentre for Integrative Systems Biology and Bioinformatics, Department of Life Sciences, Imperial College London, London SW7 2AZ, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/J014575/1
6 · The paper itself

Abstract

The related concepts of protein dynamics, conformational ensembles and allostery are often difficult to study with molecular dynamics (MD) due to the timescales involved. We present ExProSE (Exploration of Protein Structural Ensembles), a distance geometry-based method that generates an ensemble of protein structures from two input structures. ExProSE provides a unified framework for the exploration of protein structure and dynamics in a fast and accessible way. Using a dataset of apo/holo pairs it is shown that existing coarse-grained methods often cannot span large conformational changes. For T4-lysozyme, ExProSE is able to generate ensembles that are more native-like than tCONCOORD and NMSim, and comparable with targeted MD. By adding additional constraints representing potential modulators, ExProSE can predict allosteric sites. ExProSE ranks an allosteric pocket first or second for 27 out of 58 allosteric proteins, which is similar and complementary to existing methods. The ExProSE source code is freely available.

Indexed as

Allosteric RegulationBinding SitesComputational BiologyModels, MolecularMolecular Dynamics SimulationProtein ConformationProteinsProteinsallosterycatabolite activator proteincyclin-dependent kinase 2distance geometryensembleprotein dynamicsstochastic proximity embeddingT4-lysozyme

Identifiers

PMID28190781
PMCPMC5343748

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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.