Evidence map›Paper›PMID 26234208›Full record

ArticleProteins2016

Protein structure refinement via molecular-dynamics simulations: What works and what does not?

Michael Feig, Vahid Mirjalili

Abstract read
In one paragraph

Article in Proteins, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. AI-Physics-Experiment Trinity for Integrated Protein Dynamics Modeling.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
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  19. Methods for the Refinement of Protein Structure 3D Models.International journal of molecular sciences · 2019
    Review
  20. Experimental accuracy in protein structure refinement via molecular dynamics simulations.Proceedings of the National Academy of Sciences of the United States of America · 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

2 authors.

Michael FeigDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan, 48824. feig@msu.edu.
Vahid MirjaliliDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan, 48824.

Funding

Protein structure refinement through effective sampling and scoringR01GM084953 · NIGMS · MICHIGAN STATE UNIVERSITY · PI FEIG, MICHAEL · 2008 to 2017
$2.5M
NIGMS NIH HHS R01 GM084953
6 · The paper itself

Abstract

Protein structure refinement during CASP11 by the Feig group was described. Molecular dynamics simulations were used in combination with an improved selection and averaging protocol. On average, modest refinement was achieved with some targets improved significantly. Analysis of the CASP submission from our group focused on refinement success versus amount of sampling, refinement of different secondary structure elements and whether refinement varied as a function of which group provided initial models. The refinement of local stereochemical features was examined via the MolProbity score and an updated protocol was developed that can generate high-quality structures with very low MolProbity scores for most starting structures with modest computational effort. Proteins 2016; 84(Suppl 1):282-292. © 2015 Wiley Periodicals, Inc.

Indexed as

Models, StatisticalMolecular Dynamics SimulationSoftwareAlgorithmsAmino Acid MotifsComputational BiologyHumansInternetProtein Conformation, alpha-HelicalProtein Conformation, beta-StrandProtein FoldingProtein Interaction Domains and MotifsProteinsProtein Structure, TertiaryProteinsCASPMolprobityproteinscoringstructure prediction

Identifiers

PMID26234208
PMCPMC5493977

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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.