Evidence map›Paper›PMID 30990694›Full record

ArticleThe journal of physical chemistry letters2019

Evolution of All-Atom Protein Force Fields to Improve Local and Global Properties.

Gül H Zerze, Wenwei Zheng, Robert B Best, Jeetain Mittal

Abstract read
In one paragraph

Article in The journal of physical chemistry letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Article
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  4. Accurate conformational ensembles of intrinsically disordered proteins using reweighting based on NMR chemical shifts.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Article
  6. Article
  7. Article
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  9. Sizes, conformational fluctuations, and SAXS profiles for intrinsically disordered proteins.Protein science : a publication of the Protein Society · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Applications of Molecular Dynamics Simulations in Drug Discovery.Methods in molecular biology (Clifton, N.J.) · 2024
    Review
  18. Article
  19. Article
  20. 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

4 authors.

Gül H ZerzeDepartment of Chemical and Biomolecular Engineering , Lehigh University , Bethlehem , Pennsylvania 18015 , United States.ORCID http://orcid.org/0000-0002-3074-3521
Wenwei ZhengCollege of Integrative Sciences and Arts , Arizona State University , Mesa , Arizona 85212 , United States.
Robert B BestLaboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases , National Institutes of Health , Bethesda , Maryland 20892 , United States.ORCID http://orcid.org/0000-0002-7893-3543
Jeetain MittalDepartment of Chemical and Biomolecular Engineering , Lehigh University , Bethlehem , Pennsylvania 18015 , United States.ORCID http://orcid.org/0000-0002-9725-6402

Funding

Understanding protein folding, evolution and function via molecular simulationZIADK075104 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI BEST, ROBERT · 2013 to 2025
$13.7M
Intramural NIH HHS Z99 DK999999Intramural NIH HHS ZIA DK075104
6 · The paper itself

Abstract

Experimental studies on intrinsically disordered and unfolded proteins have shown that in isolation they typically have low populations of secondary structure and exhibit distance scalings suggesting that they are at near-theta-solvent conditions. Until recently, however, all-atom force fields failed to reproduce these fundamental properties of intrinsically disordered proteins (IDPs). Recent improvements by refining against ensemble-averaged experimental observables for polypeptides in aqueous solution have addressed deficiencies including secondary structure bias, global conformational properties, and thermodynamic parameters of biophysical reactions such as folding and collapse. To date, studies utilizing these improved all-atom force fields have mostly been limited to a small set of unfolded or disordered proteins. Here, we present data generated for a diverse library of unfolded or disordered proteins using three progressively improved generations of Amber03 force fields, and we explore how global and local properties are affected by each successive change in the force field. We find that the most recent force field refinements significantly improve the agreement of the global properties such as radii of gyration and end-to-end distances with experimental estimates. However, these global properties are largely independent of the local secondary structure propensity. This result stresses the need to validate force fields with reference to a combination of experimental data providing information about both local and global structure formation.

Indexed as

Molecular Dynamics SimulationPhysical PhenomenaIntrinsically Disordered ProteinsProtein ConformationProtein UnfoldingSolventsThermodynamicsIntrinsically Disordered ProteinsSolvents

Identifiers

PMID30990694
PMCPMC7507668

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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.