Evidence map›Paper›PMID 33574233›Full record

ArticleNature communications2021

High resolution ensemble description of metamorphic and intrinsically disordered proteins using an efficient hybrid parallel tempering scheme.

Rajeswari Appadurai, Jayashree Nagesh, Anand Srivastava

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Peptide-based drug design using generative AI.Chemical communications (Cambridge, England) · 2026
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. L-Type Voltage-Gated CaBiochemistry · 2025
    Article
  17. Article
  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

3 authors.

Rajeswari AppaduraiMolecular Biophysics Unit, Indian Institute of Science, Bangalore, Karnataka, India.ORCID 0000-0001-5988-868X
Jayashree NageshSolid State & Structural Chemistry Unit, Indian Institute of Science, Bangalore, Karnataka, India.
Anand SrivastavaMolecular Biophysics Unit, Indian Institute of Science, Bangalore, Karnataka, India. anand@iisc.ac.in.ORCID 0000-0002-2757-1511

Funding

DBT-Wellcome Trust India Alliance IA/E/18/1/504308Wellcome Trust
6 · The paper itself

Abstract

Mapping free energy landscapes of complex multi-funneled metamorphic proteins and weakly-funneled intrinsically disordered proteins (IDPs) remains challenging. While rare-event sampling molecular dynamics simulations can be useful, they often need to either impose restraints or reweigh the generated data to match experiments. Here, we present a parallel-tempering method that takes advantage of accelerated water dynamics and allows efficient and accurate conformational sampling across a wide variety of proteins. We demonstrate the improved sampling efficiency by benchmarking against standard model systems such as alanine di-peptide, TRP-cage and β-hairpin. The method successfully scales to large metamorphic proteins such as RFA-H and to highly disordered IDPs such as Histatin-5. Across the diverse proteins, the calculated ensemble averages match well with the NMR, SAXS and other biophysical experiments without the need to reweigh. By allowing accurate sampling across different landscapes, the method opens doors for sampling free energy landscape of complex uncharted proteins.

Indexed as

EntropyIntrinsically Disordered ProteinsMolecular Dynamics SimulationNuclear Magnetic Resonance, BiomolecularPeptidesProtein ConformationScattering, Small AngleX-Ray DiffractionIntrinsically Disordered ProteinsPeptides

Identifiers

PMID33574233
PMCPMC7878814

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.