Therapeutic peptide development revolutionized: Harnessing the power of artificial intelligence for drug discovery

S Hashemi, P Vosough, S Taghizadeh… - Heliyon, 2024 - cell.com
Due to the spread of antibiotic resistance, global attention is focused on its inhibition and the
expansion of effective medicinal compounds. The novel functional properties of peptides …

Recent advances in exploring and exploiting soybean functional peptides—A review

Y Zhu, G Chen, J Diao, C Wang - Frontiers in Nutrition, 2023 - frontiersin.org
Soybeans are rich in proteins and phytochemicals such as isoflavones and phenolic
compounds. It is an excellent source of peptides with numerous biological functions …

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 …

The targeted development of collagen-active peptides based on composite enzyme hydrolysis: a study on the structure–activity relationship

X Hu, Y Yang, C Chang, J Li, Y Su, L Gu - Food & Function, 2024 - pubs.rsc.org
Fish collagen, derived from sustainable sources, offers a valuable substrate for generating
peptides with diverse biofunctionalities. In this study, alkaline, papain, and ginger protease …

[HTML][HTML] Classification of bioactive peptides: A systematic benchmark of models and encodings

E Bizzotto, G Zampieri, L Treu, P Filannino… - Computational and …, 2024 - Elsevier
Bioactive peptides are short amino acid chains possessing biological activity and exerting
physiological effects relevant to human health. Despite their therapeutic value, their …

Predicting variable-length ACE inhibitory peptides based on graph convolutional network

Y Rong, B Feng, X Cai, H Song, L Wang… - International Journal of …, 2024 - Elsevier
Traditional molecular descriptors have contributed to the prediction of angiotensin I-
converting enzyme (ACE) inhibitory peptides, but they often fall short in capturing the …

[HTML][HTML] Predicting Antidiabetic Peptide Activity: A Machine Learning Perspective on Type 1 and Type 2 Diabetes

K Cai, Z Zhang, W Zhu, X Liu, T Yu, W Liao - International Journal of …, 2024 - mdpi.com
Diabetes mellitus (DM) presents a critical global health challenge, characterized by
persistent hyperglycemia and associated with substantial economic and health-related …

Deepstack-ACE: A deep stacking-based ensemble learning framework for the accelerated discovery of ACE inhibitory peptides

P Charoenkwan, P Chumnanpuen, N Schaduangrat… - Methods, 2025 - Elsevier
Identifying angiotensin-I-converting enzyme (ACE) inhibitory peptides accurately is crucial
for understanding the primary factor that regulates the renin-angiotensin system and for …

[HTML][HTML] DeepForest-HTP: A novel deep forest approach for predicting antihypertensive peptides

Q Bai, H Chen, W Li, L Li, J Li, Z Gao, Y Li, X Li… - Computer Methods and …, 2025 - Elsevier
Hypertension is a major preventable risk factor for cardiovascular disease, affecting over 1.5
billion adults worldwide. Antihypertensive peptides (AHTPs) have gained attention as a …

脑卒屮多分类预后预测的深度集成优化方法.

叶伟, 陶永军, 陈锡程, 伍亚舟 - Journal of Computer …, 2023 - search.ebscohost.com
诊疗前预测急性缺血性脑卒中(AIS) 的预后分级, 有利于揭示预后转归水平并指导治疗策略,
提升方法的预测性能是实现精准医疗的重要指导. 利用临床和影像组学的融合特征实施脑卒中的 …