Evidence map›Paper›PMID 36320921›Full record

ArticleChemical science2022

Implications of the unfolded state in the folding energetics of heterogeneous-backbone protein mimetics.

Jacqueline R Santhouse, Jeremy M G Leung, Lillian T Chong, W Seth Horne

Abstract read
In one paragraph

Article in Chemical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  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
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

4 authors.

Jacqueline R SanthouseDepartment of Chemistry, University of Pittsburgh Pittsburgh PA 15211 USA ltchong@pitt.edu horne@pitt.edu.
Jeremy M G LeungDepartment of Chemistry, University of Pittsburgh Pittsburgh PA 15211 USA ltchong@pitt.edu horne@pitt.edu.ORCID https://orcid.org/0000-0001-7021-4619
Lillian T ChongDepartment of Chemistry, University of Pittsburgh Pittsburgh PA 15211 USA ltchong@pitt.edu horne@pitt.edu.ORCID https://orcid.org/0000-0002-0590-483X
W Seth HorneDepartment of Chemistry, University of Pittsburgh Pittsburgh PA 15211 USA ltchong@pitt.edu horne@pitt.edu.ORCID https://orcid.org/0000-0003-2927-1739

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sequence-encoded folding is the foundation of protein structure and is also possible in synthetic chains of artificial chemical composition. In natural proteins, the characteristics of the unfolded state are as important as those of the folded state in determining folding energetics. While much is known about folded structures adopted by artificial protein-like chains, corresponding information about the unfolded states of these molecules is lacking. Here, we report the consequences of altered backbone composition on the structure, stability, and dynamics of the folded and unfolded states of a compact helix-rich protein. Characterization through a combination of biophysical experiments and atomistic simulation reveals effects of backbone modification that depend on both the type of artificial monomers employed and where they are applied in sequence. In general, introducing artificial connectivity in a way that reinforces characteristics of the unfolded state ensemble of the prototype natural protein minimizes the impact of chemical changes on folded stability. These findings have implications in the design of protein mimetics and provide an atomically detailed picture of the unfolded state of a natural protein and artificial analogues under non-denaturing conditions.

Identifiers

PMID36320921
PMCPMC9580521

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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.