Promising perspectives on novel protein food sources combining artificial intelligence and 3D food printing for food industry

MG Bedoya, DR Montoya, G Tabilo-Munizaga… - Trends in Food Science …, 2022 - Elsevier
Background Novel food matrices with high protein content and biological value, good amino
acid profile, and functionality based on algae, insects, plants, fungi, and microbial proteins …

pLM4ACE: A protein language model based predictor for antihypertensive peptide screening

Z Du, X Ding, W Hsu, A Munir, Y Xu, Y Li - Food Chemistry, 2024 - Elsevier
Angiotensin-I converting enzyme (ACE) regulates the renin-angiotensin system and is a
drug target in clinical treatment for hypertension. This study aims to develop a protein …

Advances in Machine Learning Screening of Food Bioactive Compounds

Y Zhang, X Bao, Y Zhu, Z Dai, Q Shen, Y Xue - Trends in Food Science & …, 2024 - Elsevier
Background Food contains abundant bioactive compounds that play a crucial role in human
health. However, conventional methods for screening food bioactive compounds (FBCs) are …

Deep learning drives efficient discovery of novel antihypertensive peptides from soybean protein isolate

Y Zhang, Z Dai, X Zhao, C Chen, S Li, Y Meng… - Food Chemistry, 2023 - Elsevier
As a potential and effective substitute for the drugs of antihypertension, the food-derived
antihypertensive peptides have arisen great interest in scholars recently. However, the …

Identification of distinct characteristics of antibiofilm peptides and prospection of diverse sources for efficacious sequences

B Bose, T Downey, AK Ramasubramanian… - Frontiers in …, 2022 - frontiersin.org
A majority of microbial infections are associated with biofilms. Targeting biofilms is
considered an effective strategy to limit microbial virulence while minimizing the …

Revealing the sequence characteristics and molecular mechanisms of ACE inhibitory peptides by comprehensive characterization of 160,000 tetrapeptides

M Ma, Y Feng, Y Miao, Q Shen, S Tang, J Dong… - Foods, 2023 - mdpi.com
Chronic diseases, such as hypertension, cause great harm to human health. Conventional
drugs have promising therapeutic effects, but also cause significant side effects. Food …

Identification of machine learning neural-network techniques for prediction of interfacial tension reduction by zein based colloidal particles

S Esteghlal, SH Samadi, SMH Hosseini… - Materials Today …, 2023 - Elsevier
In this work, five different models of the artificial neural networks (ANNs) called feedforward,
cascadeforward, timedelay, layrec and narx were used for IFT prediction as a function of …

A comparative study on bath and horn ultrasound‐assisted modification of bentonite and their effects on the bleaching efficiency of soybean and sunflower oil …

E Abedi, M Sayadi, M Mousavifard… - Food Science & …, 2024 - Wiley Online Library
In this study, the effect of high‐power bath and horn ultrasound at different powers on
specific surface area (S BET), total pore volume (V total), and average pore volume (D ave) …

Deep2Pep: A deep learning method in multi-label classification of bioactive peptide

L Chen, Z Hu, Y Rong, B Lou - Computational Biology and Chemistry, 2024 - Elsevier
Functional peptides are easy to absorb and have low side effects, which has attracted
increasing interest from pharmaceutical scientists. However, due to the limitations in the …

Food protein-derived bioactive peptides for the management of nutrition related chronic diseases

X Cao, W Liao, S Wang - Advances in Food and Nutrition Research, 2022 - Elsevier
Dietary intervention via modifications of dietary pattern or supplementations of naturally
derived bioactive compounds has been considered as an efficient approach in management …