Evidence map›Paper›PMID 26505754›Full record

ArticlePLoS computational biology2015

Mapping the Protein Fold Universe Using the CamTube Force Field in Molecular Dynamics Simulations.

Predrag Kukic, Arvind Kannan, Maurits J J Dijkstra, Sanne Abeln, Carlo Camilloni, Michele Vendruscolo

Abstract read
In one paragraph

Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Implementing efficient concerted rotations using Mathematica and C codeThe European physical journal. E, Soft matter · 2018
    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

6 authors.

Predrag KukicDepartment of Chemistry, University of Cambridge, Cambridge, United Kingdom.
Arvind KannanDepartment of Chemistry, University of Cambridge, Cambridge, United Kingdom; Departments of Bioengineering, Stanford University, Stanford, California, United States of America.
Maurits J J DijkstraDepartment of Chemistry, University of Cambridge, Cambridge, United Kingdom; Department of Computer Science, Vrije Universiteit, Amsterdam, The Netherlands.
Sanne AbelnDepartment of Computer Science, Vrije Universiteit, Amsterdam, The Netherlands.
Carlo CamilloniDepartment of Chemistry, University of Cambridge, Cambridge, United Kingdom.
Michele VendruscoloDepartment of Chemistry, University of Cambridge, Cambridge, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been recently shown that the coarse-graining of the structures of polypeptide chains as self-avoiding tubes can provide an effective representation of the conformational space of proteins. In order to fully exploit the opportunities offered by such a 'tube model' approach, we present here a strategy to combine it with molecular dynamics simulations. This strategy is based on the incorporation of the 'CamTube' force field into the Gromacs molecular dynamics package. By considering the case of a 60-residue polyvaline chain, we show that CamTube molecular dynamics simulations can comprehensively explore the conformational space of proteins. We obtain this result by a 20 μs metadynamics simulation of the polyvaline chain that recapitulates the currently known protein fold universe. We further show that, if residue-specific interaction potentials are added to the CamTube force field, it is possible to fold a protein into a topology close to that of its native state. These results illustrate how the CamTube force field can be used to explore efficiently the universe of protein folds with good accuracy and very limited computational cost.

Indexed as

AlgorithmsModels, ChemicalMolecular Dynamics SimulationProtein FoldingProgramming LanguagesProtein ConformationProteinsSoftwareStress, MechanicalProteins

Identifiers

PMID26505754
PMCPMC4624779

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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.