Evidence map›Paper›PMID 31197841›Full record

ArticleProteins2019

Driven to near-experimental accuracy by refinement via molecular dynamics simulations.

Lim Heo, Collin F Arbour, Michael Feig

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 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Contact-Assisted Threading in Low-Homology Protein Modeling.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  2. Article
  3. Antiviral Strategies Against SARS-CoV-2: A Systems Biology Approach.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Improved protein structure prediction using predicted interresidue orientations.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  17. Article
  18. 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

3 authors.

Lim HeoDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan.
Collin F ArbourDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan.
Michael FeigDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan.ORCID 0000-0001-9380-6422

Funding

Modeling and dynamics of biomolecules on cellular scalesR35GM126948 · NIGMS · MICHIGAN STATE UNIVERSITY · PI Michael Feig · 2018 to 2026
$3.2M
Protein structure refinement through effective sampling and scoringR01GM084953 · NIGMS · MICHIGAN STATE UNIVERSITY · PI FEIG, MICHAEL · 2008 to 2017
$2.5M
NIGMS NIH HHS R01 GM084953NIGMS NIH HHS R35 GM126948
6 · The paper itself

Abstract

Protein model refinement has been an essential part of successful protein structure prediction. Molecular dynamics simulation-based refinement methods have shown consistent improvement of protein models. There had been progress in the extent of refinement for a few years since the idea of ensemble averaging of sampled conformations emerged. There was little progress in CASP12 because conformational sampling was not sufficiently diverse due to harmonic restraints. During CASP13, a new refinement method was tested that achieved significant improvements over CASP12. The new method intended to address previous bottlenecks in the refinement problem by introducing new features. Flat-bottom harmonic restraints replaced harmonic restraints, sampling was performed iteratively, and a new scoring function and selection criteria were used. The new protocol expanded conformational sampling at reduced computational costs. In addition to overall improvements, some models were refined significantly to near-experimental accuracy.

Indexed as

Computational BiologyMolecular Dynamics SimulationProtein ConformationCrystallography, X-RayModels, MolecularProtein FoldingProteinsProteinsCASPMarkov-state modelingmodel refinementmolecular dynamics simulationprotein structure prediction

Identifiers

PMID31197841
PMCPMC6851469

What OpenQuestion holds

Textmetadata
LicenceTDM
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.