Evidence map›Paper›PMID 30370948›Full record

ArticleProteins2019

Refinement of protein-protein complexes in contact map space with metadynamics simulations.

Erik Pfeiffenberger, Paul A Bates

Abstract read
In one paragraph

Article in Proteins, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. On the mechanism of ezrin activation.Biophysical journal · 2026
    Article
  2. On the Mechanism of Ezrin Activation.bioRxiv : the preprint server for biology · 2025
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Challenges in protein docking.Current opinion in structural biology · 2020
    Review
  9. Article
  10. Article
  11. 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

2 authors.

Erik PfeiffenbergerBiomolecular Modelling Laboratory, The Francis Crick Institute, London, United Kingdom.ORCID 0000-0002-1956-4805
Paul A BatesBiomolecular Modelling Laboratory, The Francis Crick Institute, London, United Kingdom.ORCID 0000-0003-0621-0925

Funding

Cancer Research UK 10748Cancer Research UK FC001003Medical Research Council FC001003Wellcome Trust FC001003
6 · The paper itself

Abstract

Accurate protein-protein complex prediction, to atomic detail, is a challenging problem. For flexible docking cases, current state-of-the-art docking methods are limited in their ability to exhaustively search the high dimensionality of the problem space. In this study, to obtain more accurate models, an investigation into the local optimization of initial docked solutions is presented with respect to a reference crystal structure. We show how physics-based refinement of protein-protein complexes in contact map space (CMS), within a metadynamics protocol, can be performed. The method uses 5 times replicated 10 ns simulations for sampling and ranks the generated conformational snapshots with ZRANK to identify an ensemble of n snapshots for final model building. Furthermore, we investigated whether the reconstructed free energy surface (FES), or a combination of both FES and ZRANK, referred to as CS

Indexed as

Computer SimulationAdaptor Proteins, Signal TransducingHumansKinesinsModels, MolecularMolecular Docking SimulationMultiprotein ComplexesNerve Tissue ProteinsProtein BindingProtein ConformationProtein Interaction Domains and MotifsADAP1 protein, humanAdaptor Proteins, Signal TransducingKIF13B protein, humanKinesinsMultiprotein ComplexesNerve Tissue Proteinsmetadynamics simulationsprotein-protein complexesrefinementscoring functions

Identifiers

PMID30370948
PMCPMC6492248

What OpenQuestion 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 OpenQuestion graph.