Evidence map›Paper›PMID 31737642›Full record

ArticleFrontiers in molecular biosciences2019

Improved Modeling of Peptide-Protein Binding Through Global Docking and Accelerated Molecular Dynamics Simulations.

Jinan Wang, Andrey Alekseenko, Dima Kozakov, Yinglong Miao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

43 citing papers in PubMed, 94 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. IntelligentFrontiers in cellular and infection microbiology · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Exploring Placental Protein-Target Protein Interactions:Current protein & peptide science · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Molecular Dynamics Simulations in Protein-Protein Docking.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  19. Article
  20. Frontiers in microbiology · 2024
    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 at 2 institutions in 1 country.

Jinan WangCenter for Computational Biology and Department of Molecular Biosciences, University of Kansas, Lawrence, KS, United States.
Andrey AlekseenkoLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, United States.
Dima KozakovLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, United States.
Yinglong MiaoCenter for Computational Biology and Department of Molecular Biosciences, University of Kansas, Lawrence, KS, United States.
Stony Brook University · USUniversity of Kansas · US

Funding

Enhanced Sampling of G-Protein-Coupled Receptor-G Protein InteractionsR01GM132572 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MIAO, YINGLONG · 2019 to 2023
$1.5M
American Heart Association-American Stroke Association 17SDG33370094NIGMS NIH HHS R01 GM132572
6 · The paper itself

Abstract

Peptides mediate up to 40% of known protein-protein interactions in higher eukaryotes and play a key role in cellular signaling, protein trafficking, immunology, and oncology. However, it is challenging to predict peptide-protein binding with conventional computational modeling approaches, due to slow dynamics and high peptide flexibility. Here, we present a prototype of the approach which combines global peptide docking using

Indexed as

gaussian accelerated molecular dynamics (GaMD)peptide dockingpeptide flexibilitypeptide-protein bindingPeptiDock

Identifiers

PMID31737642
PMCPMC6835073
OpenAlexW2988729564

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.