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Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
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ACE Inhibitory Peptide Tailored Preparation, Screening, and Interaction Mechanism via Computer-Assisted Experimental

Xia Yang1,2, Cheng Ge3, Lu Lu3

  • 1State Key Laboratory of Marine Food Processing & Safety Control, College of Food Science and Engineering, Ocean University of China, No. 1299, Sansha Road, Qingdao, Shandong Province 266404, PR China.

Journal of Agricultural and Food Chemistry
|June 18, 2026
PubMed
Summary
This summary is machine-generated.

DeepAngio, a novel model, enhances the production of angiotensin-converting enzyme (ACE)-inhibitory peptides. This AI approach improves screening and classification accuracy, leading to potent peptide discovery for potential therapeutic applications.

Keywords:
ACEdeep learningdirectional hydrolysismechanismscreening

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Area of Science:

  • Biotechnology
  • Bioinformatics
  • Food Science

Background:

  • Conventional methods for producing ACE-inhibitory peptides face challenges with low yield, suboptimal activity, and extensive optimization requirements.
  • Angiotensin-converting enzyme (ACE) inhibitors are crucial for managing hypertension and cardiovascular diseases.

Purpose of the Study:

  • To introduce DeepAngio, a novel computational model designed to overcome limitations in ACE-inhibitory peptide production.
  • To enable targeted screening and development of highly active ACE-inhibitory peptides.

Main Methods:

  • Development and validation of the DeepAngio model using 10-fold cross-validation for screening and classification tasks.
  • Application of DeepAngio to facilitate the directional preparation of tuna meat hydrolysates.
  • Identification and characterization of novel ACE-inhibitory peptides using spectroscopic and molecular docking analyses.

Main Results:

  • DeepAngio achieved high accuracy in screening (98.80%) and classification (88.24%).
  • Tuna meat hydrolysates exhibited significant ACE inhibitory activity (IC50 = 31.27 ± 0.72 μg/mL).
  • Three novel potent ACE-inhibitory peptides (LLRP, LHWPR, RFLR) were identified with IC50 values ranging from 3.44 ± 0.19 μM to 42.52 ± 7.50 μM.

Conclusions:

  • DeepAngio is an effective tool for improving ACE-inhibitory peptide discovery and production.
  • The identified peptides demonstrate potent ACE inhibition through competitive or mixed-competitive mechanisms.
  • This study paves the way for developing novel therapeutic agents for hypertension management.