Evidence map›Paper›PMID 37850124›Full record

ReviewBiodesign research2022

Design of Protein Segments and Peptides for Binding to Protein Targets.

Suchetana Gupta, Noora Azadvari, Parisa Hosseinzadeh

Open access · diamondAbstract readReview
In one paragraph

Review in Biodesign research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.1field-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

18 citing papers in PubMed, 39 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Peptide-based drug design using generative AI.Chemical communications (Cambridge, England) · 2026
    Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Graphene-Oxide Peptide-Containing Materials for Biomedical Applications.International journal of molecular sciences · 2024
    Review
  14. Review
  15. Review
  16. Article
  17. Review
  18. 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.

Suchetana GuptaKnight Campus Center for Accelerating Scientific Impact, University of Oregon, Eugene OR 97403, USA.
Noora AzadvariKnight Campus Center for Accelerating Scientific Impact, University of Oregon, Eugene OR 97403, USA.
Parisa HosseinzadehKnight Campus Center for Accelerating Scientific Impact, University of Oregon, Eugene OR 97403, USA.ORCID https://orcid.org/0000-0002-3128-7433
University of Oregon · US

Funding

A data-driven approach towards generation of permeable peptide therapeuticsDP2GM146249 · NIGMS · UNIVERSITY OF OREGON · PI HOSSEINZADEH, PARISA · 2021 to 2024
$2.2M
NIGMS NIH HHS DP2 GM146249
6 · The paper itself

Abstract

Recent years have witnessed a rise in methods for accurate prediction of structure and design of novel functional proteins. Design of functional protein fragments and peptides occupy a small, albeit unique, space within the general field of protein design. While the smaller size of these peptides allows for more exhaustive computational methods, flexibility in their structure and sparsity of data compared to proteins, as well as presence of noncanonical building blocks, add additional challenges to their design. This review summarizes the current advances in the design of protein fragments and peptides for binding to targets and discusses the challenges in the field, with an eye toward future directions.

Identifiers

PMID37850124
PMCPMC10521657
OpenAlexW4224044798

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.