Evidence map›Paper›PMID 36338806›Full record

ArticleFrontiers in bioinformatics2022

Towards rational computational peptide design.

Liwei Chang, Arup Mondal, Alberto Perez

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

25 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
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  7. State-Specific Peptide Design Targeting G Protein-Coupled Receptors.Journal of chemical information and modeling · 2025
    Article
  8. Article
  9. Review
  10. Article
  11. Review
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  14. Article
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  16. Article
  17. Computational Modeling of the Interactions between DPP IV and Hemorphins.International journal of molecular sciences · 2024
    Article
  18. Extracellular vesicles for developing targeted hearing loss therapy.Journal of controlled release : official journal of the Controlled Release Society · 2024
    Review
  19. Review
  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 at 1 institution in 1 country.

Liwei ChangDepartment of Chemistry, University of Florida, Gainesville, FL, United States.
Arup MondalDepartment of Chemistry, University of Florida, Gainesville, FL, United States.
Alberto PerezDepartment of Chemistry, University of Florida, Gainesville, FL, United States.
University of Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peptides are prevalent in biology, mediating as many as 40% of protein-protein interactions, and involved in other cellular functions such as transport and signaling. Their ability to bind with high specificity make them promising therapeutical agents with intermediate properties between small molecules and large biologics. Beyond their biological role, peptides can be programmed to self-assembly, and they are already being used for functions as diverse as oligonuclotide delivery, tissue regeneration or as drugs. However, the transient nature of their interactions has limited the number of structures and knowledge of binding affinities available-and their flexible nature has limited the success of computational pipelines that predict the structures and affinities of these molecules. Fortunately, recent advances in experimental and computational pipelines are creating new opportunities for this field. We are starting to see promising predictions of complex structures, thermodynamic and kinetic properties. We believe in the following years this will lead to robust rational peptide design pipelines with success similar to those applied for small molecule drug discovery.

Indexed as

computational modelingpeptidepeptide-protein interactionspeptide self-assemblystructure prediction

Identifiers

PMID36338806
PMCPMC9634169
OpenAlexW4306970310

What Socratic 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 Socratic graph.