Evidence map›Paper›PMID 30326175›Full record

ArticleChembiochem : a European journal of chemical biology2019

Heterogeneous-Backbone Foldamer Mimics of a Computationally Designed, Disulfide-Rich Miniprotein.

Chino C Cabalteja, Daniel S Mihalko, W Seth Horne

Abstract read
In one paragraph

Article in Chembiochem : a European journal of chemical biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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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

12 citing papers in PubMed.

  1. Review
  2. Review
  3. Interplay between CChembiochem : a European journal of chemical biology · 2025
    Article
  4. Backbone Modification in a Protein Hydrophobic Core.Chemistry (Weinheim an der Bergstrasse, Germany) · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. 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.

Chino C CabaltejaDepartment of Chemistry, University of Pittsburgh, 219 Parkman Avenue, Pittsburgh, PA, 15260, USA.
Daniel S MihalkoDepartment of Chemistry, University of Pittsburgh, 219 Parkman Avenue, Pittsburgh, PA, 15260, USA.
W Seth HorneDepartment of Chemistry, University of Pittsburgh, 219 Parkman Avenue, Pittsburgh, PA, 15260, USA.ORCID 0000-0003-2927-1739

Funding

Molecular Mimics of Protein Tertiary Folding from Primary Sequence InformationR01GM107161 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HORNE, WILLIAM SETH · 2013 to 2022
$2.6M
NIGMS NIH HHS R01 GM107161
6 · The paper itself

Abstract

Disulfide-rich peptides have found widespread use in the development of bioactive agents; however, low proteolytic stability and the difficulty of exerting synthetic control over chain topology present barriers to their application in some systems. Herein, we report a method that enables the creation of artificial backbone ("foldamer") mimics of compact, disulfide-rich tertiary folds. Systematic replacement of a subset of natural α-residues with various artificial building blocks in the context of a computationally designed prototype sequence leads to "heterogeneous-backbone" variants that undergo clean oxidative folding, adopt tertiary structures indistinguishable from that of the prototype, and enjoy proteolytic protection beyond that inherent to the topologically constrained scaffold. Collectively, these results demonstrate systematic backbone substitution to be a viable method to engineer the properties of disulfide-rich sequences and expands the repertoire of protein mimicry by foldamers to an exciting new structural class.

Indexed as

Amino Acid SequenceDisulfidesPeptides, CyclicProtein ConformationProtein EngineeringProtein FoldingProtein Structure, SecondaryProteolysisSequence AlignmentDisulfidesPeptides, Cyclicdisulfide-rich peptidesfoldamersheterogeneous backbonesprotein designprotein mimetics

Identifiers

PMID30326175
PMCPMC6314896

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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.