Evidence map›Paper›PMID 25615870›Full record

ArticleActa crystallographica. Section D, Biological crystallography2015

In pursuit of an accurate spatial and temporal model of biomolecules at the atomistic level: a perspective on computer simulation.

Alan Gray, Oliver G Harlen, Sarah A Harris, Syma Khalid, Yuk Ming Leung, Richard Lonsdale, Adrian J Mulholland, Arwen R Pearson, Daniel J Read, Robin A Richardson

Abstract read
In one paragraph

Article in Acta crystallographica. Section D, Biological crystallography, 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
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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

10 authors.

Alan GrayThe Edinburgh Parallel Computing Centre, The University of Edinburgh, Edinburgh EH9 3JZ, Scotland.
Oliver G HarlenSchool of Mathematics, University of Leeds, Leeds LS2 9JT, England.
Sarah A HarrisSchool of Physics and Astronomy, University of Leeds, Leeds LS2 9JT, England.
Syma KhalidFaculty of Natural and Environmental Sciences, University of Southampton, Southampton SO17 1BJ, England.
Yuk Ming LeungFaculty of Natural and Environmental Sciences, University of Southampton, Southampton SO17 1BJ, England.
Richard LonsdaleMax-Planck-Institut für Kohlenforschung, Kaiser-Wilhelm-Platz 1, 45470 Mülheim an der Ruhr, Germany.
Adrian J MulhollandCentre for Computational Chemistry, University of Bristol, Bristol BS8 1TS, England.
Arwen R PearsonAstbury Centre for Structural Molecular Biology, University of Leeds, Leeds LS2 9JT, England.
Daniel J ReadSchool of Mathematics, University of Leeds, Leeds LS2 9JT, England.
Robin A RichardsonSchool of Physics and Astronomy, University of Leeds, Leeds LS2 9JT, England.

Funding

Biotechnology and Biological Sciences Research Council BB/H001905/1Biotechnology and Biological Sciences Research Council BB/L01386X/1
6 · The paper itself

Abstract

Despite huge advances in the computational techniques available for simulating biomolecules at the quantum-mechanical, atomistic and coarse-grained levels, there is still a widespread perception amongst the experimental community that these calculations are highly specialist and are not generally applicable by researchers outside the theoretical community. In this article, the successes and limitations of biomolecular simulation and the further developments that are likely in the near future are discussed. A brief overview is also provided of the experimental biophysical methods that are commonly used to probe biomolecular structure and dynamics, and the accuracy of the information that can be obtained from each is compared with that from modelling. It is concluded that progress towards an accurate spatial and temporal model of biomacromolecules requires a combination of all of these biophysical techniques, both experimental and computational.

Indexed as

Computer SimulationCrystallography, X-RayMolecular Dynamics SimulationNucleic AcidsProteinsQuantum TheoryNucleic AcidsProteinsbiomolecular simulationcomputational techniques

Identifiers

PMID25615870
PMCPMC4304696

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.