Evidence map›Paper›PMID 40870802›Full record

ReviewFoods (Basel, Switzerland)2025

Organic Fusion of Molecular Simulation and Wet-Lab Validation: A Promising High-Throughput Strategy for Screening Bioactive Food Peptides.

Dongyin Liu, Yuan Xu, Xin Zhang, Fawen Yin, Jun Cao, Zhongyuan Liu, Dayong Zhou, Aiguo Feng, Chuan Li

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

9 authors.

Dongyin LiuHainan International Joint Research Center for Innovative Utilization of Tropical Seafood Resources, School of Food Science and Engineering, Hainan University, Haikou 570228, China.
Yuan XuHainan International Joint Research Center for Innovative Utilization of Tropical Seafood Resources, School of Food Science and Engineering, Hainan University, Haikou 570228, China.
Xin ZhangHainan International Joint Research Center for Innovative Utilization of Tropical Seafood Resources, School of Food Science and Engineering, Hainan University, Haikou 570228, China.
Fawen YinSchool of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China.ORCID 0000-0002-8655-261X
Jun CaoHainan International Joint Research Center for Innovative Utilization of Tropical Seafood Resources, School of Food Science and Engineering, Hainan University, Haikou 570228, China.ORCID 0000-0001-6108-0532
Zhongyuan LiuHainan International Joint Research Center for Innovative Utilization of Tropical Seafood Resources, School of Food Science and Engineering, Hainan University, Haikou 570228, China.
Dayong ZhouSchool of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China.
Aiguo FengHainan International Joint Research Center for Innovative Utilization of Tropical Seafood Resources, School of Food Science and Engineering, Hainan University, Haikou 570228, China.
Chuan LiHainan International Joint Research Center for Innovative Utilization of Tropical Seafood Resources, School of Food Science and Engineering, Hainan University, Haikou 570228, China.ORCID 0000-0002-5612-522X

Funding

Hainan Province Science and Technology Special Fund ZDYF2023XDNY024, GHYF2024011, ZDYF2024XDNY277National Key R&D Program of China 2024YFF1106601
6 · The paper itself

Abstract

Peptides derived from protein sources in food exhibit a diverse array of biological activities. The screening, preparation, and functional investigation of bioactive peptides have become a focal area of research. This review summarizes the status of peptide activity mining, including the latest research progress in protein sources, peptide functions, and processing conditions. It critically evaluates the limitations of current bioactive peptide screening methods, including the drawbacks of traditional methods and molecular simulations. The potential of using molecular simulation for the virtual screening of potentially bioactive peptides is summarized. This includes virtual enzymatic digestion, molecular docking, simulation of non-thermal processing technologies, and the construction of organelle/cell models. The driving role of artificial intelligence in molecular simulation is also discussed. In addition, the structural information, mechanism, and structural analysis technique of action of the popular target proteins of foodborne bioactive peptides are summarized to provide a better reference for virtual-reality combinations.

Indexed as

artificial intelligencebioactive peptidefood proteinmolecular simulationnon-thermal technologyreceptor protein

Identifiers

PMID40870802
PMCPMC12385867

What OpenQuestion holds

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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.