Evidence map›Paper›PMID 41279333›Full record

ArticlebioRxiv : the preprint server for biology2025

Atom-level backbone engineering preserves peptide function while enhancing stability.

Mingzhu He, Kai Fan Cheng, Anh Vu, Marcelo D T Torres, Stavros Zanos, Ibrahim T Mughrabi, Cesar de la Fuente-Nunez, Yousef Al-Abed

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Mingzhu HeThe Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA.ORCID 0000-0001-7779-2411
Kai Fan ChengThe Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA.
Anh VuInstitute of Bioelectronic Medicine, Feinstein Institutes for Medical Research, Manhasset, NY USA.
Marcelo D T TorresMachine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Stavros ZanosInstitute of Bioelectronic Medicine, Feinstein Institutes for Medical Research, Manhasset, NY USA.
Ibrahim T MughrabiInstitute of Bioelectronic Medicine, Feinstein Institutes for Medical Research, Manhasset, NY USA.ORCID 0000-0001-8057-6146
Cesar de la Fuente-NunezMachine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Yousef Al-AbedThe Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA.

Funding

Combining chemical and computational tools for predictive models of microbiome communitiesR35GM138201 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI DE LA FUENTE, CESAR · 2020 to 2024
$1.8M
NIGMS NIH HHS R35 GM138201
6 · The paper itself

Abstract

Peptide therapeutics offer unmatched potency and selectivity but are limited by rapid proteolysis and poor pharmacokinetics. Backbone engineering provides a rational approach to enhance stability while preserving function, yet direct comparisons across strategies remain scarce. Using bradykinin as a model, we systematically evaluated four backbone modifications-D-amino acid substitution, N-methylation, α-methylation, and azapeptide incorporation. Each modification produced distinct outcomes in synthesis, conformation, proteolytic stability, and receptor pharmacology. While D- and N-methyl substitutions yielded high stability, they compromised receptor binding and

Indexed as

azapeptidebackbone engineeringBiochemistrychemistrypeptide designpeptide therapeuticsSPPS

Identifiers

PMID41279333
PMCPMC12632313

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.