[HTML][HTML] Recent progress in the discovery and design of antimicrobial peptides using traditional machine learning and deep learning

J Yan, J Cai, B Zhang, Y Wang, DF Wong, SWI Siu - Antibiotics, 2022 - mdpi.com
Antimicrobial resistance has become a critical global health problem due to the abuse of
conventional antibiotics and the rise of multi-drug-resistant microbes. Antimicrobial peptides …

iAFPs-Mv-BiTCN: Predicting antifungal peptides using self-attention transformer embedding and transform evolutionary based multi-view features with bidirectional …

S Akbar, Q Zou, A Raza, FK Alarfaj - Artificial Intelligence in Medicine, 2024 - Elsevier
Globally, fungal infections have become a major health concern in humans. Fungal
diseases generally occur due to the invading fungus appearing on a specific portion of the …

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 …

Internet of things-enabled real-time health monitoring system using deep learning

X Wu, C Liu, L Wang, M Bilal - Neural Computing and Applications, 2023 - Springer
Smart healthcare monitoring systems are proliferating due to the Internet of Things (IoT)-
enabled portable medical devices. The IoT and deep learning in the healthcare sector …

iAFPs-EnC-GA: identifying antifungal peptides using sequential and evolutionary descriptors based multi-information fusion and ensemble learning approach

A Ahmad, S Akbar, M Tahir, M Hayat, F Ali - Chemometrics and Intelligent …, 2022 - Elsevier
Fungal infections have become a serious health concern for human beings worldwide.
Fungal infections usually occur when the invading fungus appear on a particular part of the …

AFP-MFL: accurate identification of antifungal peptides using multi-view feature learning

Y Fang, F Xu, L Wei, Y Jiang, J Chen… - Briefings in …, 2023 - academic.oup.com
Recently, peptide-based drugs have gained unprecedented interest in discovering and
develo** antifungal drugs due to their high efficacy, broad-spectrum activity, low toxicity …

Deep-AntiFP: Prediction of antifungal peptides using distanct multi-informative features incorporating with deep neural networks

A Ahmad, S Akbar, S Khan, M Hayat, F Ali… - Chemometrics and …, 2021 - Elsevier
World widely, Fungal infections have become a serious issue for human beings. Fungal
infections normally happen once invading fungus appear on a specific area of the body and …

D eepafp: an effective computational framework for identifying antifungal peptides based on deep learning

L Yao, Y Zhang, W Li, CR Chung, J Guan… - Protein …, 2023 - Wiley Online Library
Fungal infections have become a significant global health issue, affecting millions
worldwide. Antifungal peptides (AFPs) have emerged as a promising alternative to …

PrMFTP: Multi-functional therapeutic peptides prediction based on multi-head self-attention mechanism and class weight optimization

W Yan, W Tang, L Wang, Y Bin… - PLoS computational …, 2022 - journals.plos.org
Prediction of therapeutic peptide is a significant step for the discovery of promising
therapeutic drugs. Most of the existing studies have focused on the mono-functional …

Deep learning for novel antimicrobial peptide design

C Wang, S Garlick, M Zloh - Biomolecules, 2021 - mdpi.com
Antimicrobial resistance is an increasing issue in healthcare as the overuse of antibacterial
agents rises during the COVID-19 pandemic. The need for new antibiotics is high, while the …