ArticleBiomolecules2024
A Novel Workflow for In Silico Prediction of Bioactive Peptides: An Exploration of
Article in Biomolecules, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The trial behind it
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Who cites it
9 citing papers in PubMed.
- Anticancer Bioactive Peptides from Plants: Sources, Action Mechanisms, and Potential Superiority to Conventional Chemotherapy.Probiotics and antimicrobial proteins · 2026Review
- Release of Bioactive Peptides from Whey Protein During In Vitro Digestion and Their Effect on CCK Secretion in Enteroendocrine Cells: An In Silico and In Vitro Approach.Molecules (Basel, Switzerland) · 2026Article
- Peptides from General By-Products: Unveiling Their Potential Biological Activities in Human Health.Molecules (Basel, Switzerland) · 2025Review
- Recent advances in bioactive peptides from fermented plant-based foods and their bioactivities.Food chemistry: X · 2025Review
- Review
- Functional and Bioactive Benefits of Selected Microalgal Hydrolysates Assessed In Silico and In Vitro.Marine drugs · 2025Article
- Can artificial intelligence uncover the bioactive peptides' benefits for human health and knowledge? A narrative review.Frontiers in nutrition · 2025Review
- RoseTTAFold diffusion-guided short peptide design: a case study of binders against Keap1/Nrf2.Computational and structural biotechnology journal · 2025Article
- Therapeutic Potential ofBiomolecules · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Resource-intensive processes currently hamper the discovery of bioactive peptides (BAPs) from food by-products. To streamline this process, in silico approaches present a promising alternative. This study presents a novel computational workflow to predict peptide release, bioactivity, and bioavailability, significantly accelerating BAP discovery. The computational flowchart has been designed to identify and optimize critical enzymes involved in protein hydrolysis but also incorporates multi-enzyme screening. This feature is crucial for identifying the most effective enzyme combinations that yield the highest abundance of BAPs across different bioactive classes (anticancer, antidiabetic, antihypertensive, anti-inflammatory, and antimicrobial). Our process can be modulated to extract diverse BAP types efficiently from the same source. Here, we show the potentiality of our method for the identification of diverse types of BAPs from by-products generated from
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Registered trials
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.