Evidence map›Paper›PMID 29528114›Full record

ReviewBiopolymers2018

Understanding and designing head-to-tail cyclic peptides.

Diana P Slough, Sean M McHugh, Yu-Shan Lin

Abstract readReview
In one paragraph

Review in Biopolymers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Rapid and Green Anion-Assisted Mechanochemical Peptide Cyclization.ACS sustainable chemistry & engineering · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Cyclic peptide structure prediction and design using AlphaFold.bioRxiv : the preprint server for biology · 2023
    Article
  13. Article
  14. Article
  15. Review
  16. 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

3 authors.

Diana P SloughDepartment of Chemistry, Tufts University, Medford, Massachusetts.
Sean M McHughDepartment of Chemistry, Tufts University, Medford, Massachusetts.
Yu-Shan LinDepartment of Chemistry, Tufts University, Medford, Massachusetts.ORCID https://orcid.org/0000-0001-6460-2877

Funding

Understanding and Designing Cyclic PeptidesR01GM124160 · NIGMS · TUFTS UNIVERSITY MEDFORD · PI Yu-Shan Lin · 2017 to 2026
$3.2M
National Institute of General Medical Sciences of the National Institutes of Health R01GM124160NIGMS NIH HHS R01 GM124160NIH/NIGMS
6 · The paper itself

Abstract

Cyclic peptides (CPs) are an exciting class of molecules with a variety of applications. However, design strategies for CP therapeutics, for example, are generally limited by a poor understanding of their sequence-structure relationships. This knowledge gap often leads to a trial-and-error approach for designing CPs for a specific purpose, which is both costly and time-consuming. Herein, we describe the current experimental and computational efforts in understanding and designing head-to-tail CPs along with their respective challenges. In addition, we provide several future directions in the field of computational CP design to improve its accuracy, efficiency and applicability. These advances, combined with experimental techniques, shall ultimately provide a better understanding of these interesting molecules and a reliable working platform to rationally design CPs with desired characteristics.

Indexed as

Molecular Dynamics SimulationPeptides, CyclicProtein Structure, SecondaryPeptides, Cycliccyclic peptidemolecular dynamicssequence-structure relationship

Identifiers

PMID29528114
PMCPMC6135719

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.