Evidence map›Paper›PMID 29735687›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Developing a molecular dynamics force field for both folded and disordered protein states.

Paul Robustelli, Stefano Piana, David E Shaw

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 510 papers.

0numbers the graph read from it
0cells of the map it votes in
510citing 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

510 citing papers in PubMed.

  1. Review
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  5. SIRT1 Exon 2-Encoded IDR Gates CREB-Dependent Transcriptional Timing During Fasting.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
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  11. Enzymatic Encoding of Topology in an Intrinsically Disordered Single-Chain Protein.Angewandte Chemie (International ed. in English) · 2026
    Article
  12. AI-Physics-Experiment Trinity for Integrated Protein Dynamics Modeling.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  13. Article
  14. Article
  15. Article
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  18. Context-Aware Hydrophobicity Modeling: HydroMap and FastHydroMap.bioRxiv : the preprint server for biology · 2026
    Article
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  20. Article

450 more citing papers are in PubMed but not listed here.

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.

Paul RobustelliD. E. Shaw Research, New York, NY 10036.
Stefano PianaD. E. Shaw Research, New York, NY 10036; Stefano.Piana-Agostinetti@DEShawResearch.com David.Shaw@DEShawResearch.com.
David E ShawD. E. Shaw Research, New York, NY 10036; Stefano.Piana-Agostinetti@DEShawResearch.com David.Shaw@DEShawResearch.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular dynamics (MD) simulation is a valuable tool for characterizing the structural dynamics of folded proteins and should be similarly applicable to disordered proteins and proteins with both folded and disordered regions. It has been unclear, however, whether any physical model (force field) used in MD simulations accurately describes both folded and disordered proteins. Here, we select a benchmark set of 21 systems, including folded and disordered proteins, simulate these systems with six state-of-the-art force fields, and compare the results to over 9,000 available experimental data points. We find that none of the tested force fields simultaneously provided accurate descriptions of folded proteins, of the dimensions of disordered proteins, and of the secondary structure propensities of disordered proteins. Guided by simulation results on a subset of our benchmark, however, we modified parameters of one force field, achieving excellent agreement with experiment for disordered proteins, while maintaining state-of-the-art accuracy for folded proteins. The resulting force field, a99SB-

Indexed as

Models, TheoreticalMolecular Dynamics SimulationProtein FoldingHumansIntrinsically Disordered ProteinsProtein Structure, SecondaryIntrinsically Disordered Proteinscomputer simulationsintrinsically disordered proteinsprotein dynamics

Identifiers

PMID29735687
PMCPMC6003505

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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.