Table · dataset · 2026
Discovery of Novel Peptides as DPP-IV Inhibitors: In Silico Screening, Molecular Dynamics Simulations, and Preliminary In Vitro Evaluation
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Type 2 diabetes mellitus (T2DM) is the most common metabolic disorder characterized by impaired insulin secretion, which leads to obesity.
Description
The incretin hormone glucagon-like peptide-1 (GLP-1) has a significant role in glucose homeostasis, but its native form in the human body is highly susceptible to proteolytic degradation by dipeptidyl peptidase IV (DPP-IV). In this study, a peptide library was constructed from antimicrobial peptide databases to discover novel DPP-IV inhibitors based on structural similarity to that of native GLP-1.
A total of 26 candidate peptides were shortlisted and screened using <i>in silico</i> analysis, including molecular docking, pharmacokinetic profiling, and molecular dynamics simulations. Particularly, two of the candidate antimicrobial peptides showed potent binding affinity to DPP-IV, with free energy scores of −15.6 and −16.5 kcal/mol, surpassing the binding affinity of native GLP-1 for DPP-IV. These peptides also exhibited lower predicted binding affinities for the GLP-1 receptor (GLP-1R) than for DPP-IV, suggesting a potential selective inhibitory effect and, consequently, a lower predicted likelihood of interfering with native GLP-1 signaling.
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Pharmacokinetic characteristics of the peptides were promising with an optimal absorption, distribution, metabolism, excretion, and toxicity (ADMET) profile, along with prolonged half-life and stability. Because of its better membrane permeability and more favorable predicted DPP-IV/GLP-1R binding preference, peptide 3 was further evaluated for downstream experimental validation. The biological activity test showed that peptide 3 successfully exhibited a 36.2% inhibition rate against DPP-IV <i>in vitro</i>.
These findings indicate that both peptides 3 and 10 are promising DPP-IV inhibitor candidates.
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Where it is published
- DOI doi.org/10.1021/acsomega.6c08022.s001 ↗
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Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
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Topics
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- Astronomy & Astrophysics · Bioinformatics and computational biology · Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Energy · Engineering · Genetics · Humanities · Life Sciences · Medicine & Health · Ocean & Atmospheric Science · Social Science
Provenance · 1 source records, 19 field assertions
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