Evidence map›Paper›PMID 33230150›Full record

ArticleNature communications2020

Surveying biomolecular frustration at atomic resolution.

Mingchen Chen, Xun Chen, Nicholas P Schafer, Cecilia Clementi, Elizabeth A Komives, Diego U Ferreiro, Peter G Wolynes

Abstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. How to frustrate a plant pathogen.The Plant journal : for cell and molecular biology · 2026
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Bridging Scales: Coarse-Grained Protein Models in Computational Biology.Advances in experimental medicine and biology · 2026
    Review
  15. Article
  16. 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

7 authors.

Mingchen ChenCenter for Theoretical Biological Physics, Rice University, Houston, TX, USA.ORCID 0000-0003-3916-7871
Xun ChenCenter for Theoretical Biological Physics, Department of Chemistry, Rice University, Houston, TX, USA.
Nicholas P SchaferCenter for Theoretical Biological Physics, Department of Chemistry, Rice University, Houston, TX, USA.ORCID 0000-0001-9789-2516
Cecilia ClementiCenter for Theoretical Biological Physics, Department of Chemistry, Rice University, Houston, TX, USA.
Elizabeth A KomivesDepartment of Chemistry and Biochemistry, University of California at San Diego, La Jolla, CA, USA.ORCID 0000-0001-5264-3866
Diego U FerreiroProtein Physiology Laboratory, University of Buenos Aires, Buenos Aires, Argentina.
Peter G WolynesCenter for Theoretical Biological Physics, Department of Chemistry, Rice University, Houston, TX, USA. pwolynes@rice.edu.ORCID 0000-0001-7975-9287

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To function, biomolecules require sufficient specificity of interaction as well as stability to live in the cell while still being able to move. Thermodynamic stability of only a limited number of specific structures is important so as to prevent promiscuous interactions. The individual interactions in proteins, therefore, have evolved collectively to give funneled minimally frustrated landscapes but some strategic parts of biomolecular sequences located at specific sites in the structure have been selected to be frustrated in order to allow both motion and interaction with partners. We describe a framework efficiently to quantify and localize biomolecular frustration at atomic resolution by examining the statistics of the energy changes that occur when the local environment of a site is changed. The location of patches of highly frustrated interactions correlates with key biological locations needed for physiological function. At atomic resolution, it becomes possible to extend frustration analysis to protein-ligand complexes. At this resolution one sees that drug specificity is correlated with there being a minimally frustrated binding pocket leading to a funneled binding landscape. Atomistic frustration analysis provides a route for screening for more specific compounds for drug discovery.

Indexed as

Binding SitesCatalytic DomainDrug DiscoveryLigandsModels, MolecularProtein BindingProtein FoldingProteinsThermodynamicsLigandsProteins

Identifiers

PMID33230150
PMCPMC7683549

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.