Evidence map›Paper›PMID 22153506›Full record

ArticleStructure (London, England : 1993)2011

Structural and dynamic determinants of protein-peptide recognition.

Onur Dagliyan, Elizabeth A Proctor, Kevin M D'Auria, Feng Ding, Nikolay V Dokholyan

Open access · bronzeAbstract read
In one paragraph

Article in Structure (London, England : 1993), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
3.3field-weighted citation impact, top 7% of its field
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

53 citing papers in PubMed, 96 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Peptide-based drug design using generative AI.Chemical communications (Cambridge, England) · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Leveraging Therapeutic Proteins and Peptides fromInternational journal of molecular sciences · 2024
    Article
  12. Review
  13. Article
  14. Peptidomimetics in cancer targeting.Molecular medicine (Cambridge, Mass.) · 2022
    Review
  15. Article
  16. Article
  17. Two 20-Residue-Long Peptides Derived fromInternational journal of molecular sciences · 2021
    Article
  18. Article
  19. Review
  20. Review
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

5 authors at 2 institutions in 1 country.

Onur DagliyanProgram in Molecular and Cellular Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Elizabeth A Proctor
Kevin M D'Auria
Feng Ding
Nikolay V Dokholyan
University of North Carolina at Chapel Hill · USUniversity of Virginia · US

Funding

Protein Misfolding and AggregationR01GM080742 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DOKHOLYAN, NIKOLAY · 2007 to 2015
$2.8M
Identification of drug leads targeting SOD1 dissociation for the treatment of ALSF31AG039266 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PROCTOR, ELIZABETH A · 2010 to 2013
$91k
NIA NIH HHS F31 AG039266NIA NIH HHS F31AG039266-01NIGMS NIH HHS 3R01GM080742-03S1NIGMS NIH HHS R01 GM080742NIGMS NIH HHS R01GM080742
6 · The paper itself

Abstract

Protein-peptide interactions play important roles in many cellular processes, including signal transduction, trafficking, and immune recognition. Protein conformational changes upon binding, an ill-defined peptide binding surface, and the large number of peptide degrees of freedom make the prediction of protein-peptide interactions particularly challenging. To address these challenges, we perform rapid molecular dynamics simulations in order to examine the energetic and dynamic aspects of protein-peptide binding. We find that, in most cases, we recapitulate the native binding sites and native-like poses of protein-peptide complexes. Inclusion of electrostatic interactions in simulations significantly improves the prediction accuracy. Our results also highlight the importance of protein conformational flexibility, especially side-chain movement, which allows the peptide to optimize its conformation. Our findings not only demonstrate the importance of sufficient sampling of the protein and peptide conformations, but also reveal the possible effects of electrostatics and conformational flexibility on peptide recognition.

Indexed as

Binding SitesModels, MolecularMolecular Dynamics SimulationPeptidesProtein ConformationProteinsPeptidesProteins

Identifiers

PMID22153506
PMCPMC3240807
OpenAlexW2107933517

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.