Evidence map›Paper›PMID 32626683›Full record

ReviewFrontiers in chemistry2020

Methodologies for Backbone Macrocyclic Peptide Synthesis Compatible With Screening Technologies.

Koki Shinbara, Wenyu Liu, Renier Herman Pieter van Neer, Takayuki Katoh, Hiroaki Suga

Abstract readReview
In one paragraph

Review in Frontiers in chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Review
  3. RaPID Selection of Backbone Macrocyclic Peptides Targeting Akt2.Angewandte Chemie (International ed. in English) · 2026
    Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Structure-guided engineering of a mutation-tolerant inhibitor peptide against variable SARS-CoV-2 spikes.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Natural and Man-Made Cyclic Peptide-Based Antibiotics.Antibiotics (Basel, Switzerland) · 2022
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  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.

Koki ShinbaraDepartment of Chemistry, Graduate School of Science, The University of Tokyo, Tokyo, Japan.
Wenyu LiuDepartment of Chemistry, Graduate School of Science, The University of Tokyo, Tokyo, Japan.
Renier Herman Pieter van NeerDepartment of Chemistry, Graduate School of Science, The University of Tokyo, Tokyo, Japan.
Takayuki KatohDepartment of Chemistry, Graduate School of Science, The University of Tokyo, Tokyo, Japan.
Hiroaki SugaDepartment of Chemistry, Graduate School of Science, The University of Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Backbone macrocyclic structures are often found in diverse bioactive peptides and contribute to greater conformational rigidity, peptidase resistance, and potential membrane permeability compared to their linear counterparts. Therefore, such peptide scaffolds are an attractive platform for drug-discovery endeavors. Recent advances in synthetic methods for backbone macrocyclic peptides have enabled the discovery of novel peptide drug candidates against diverse targets. Here, we overview recent technical advancements in the synthetic methods including 1) enzymatic synthesis, 2) chemical synthesis, 3) split-intein circular ligation of peptides and proteins (SICLOPPS), and 4)

Indexed as

backbone macrocyclic peptideenzymatic peptide backbone cyclizationin vitro screeningnon-proteinogenic amino acidOBOC screeningpeptide librarySICLOPPS

Identifiers

PMID32626683
PMCPMC7314982

What OpenQuestion holds

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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.