Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] Recent progress in the discovery and design of antimicrobial peptides using traditional machine learning and deep learning
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 …
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 …
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 …
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
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 …
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 …
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
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 …
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
Recently, peptide-based drugs have gained unprecedented interest in discovering and
develo** antifungal drugs due to their high efficacy, broad-spectrum activity, low toxicity …
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
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 …
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
Fungal infections have become a significant global health issue, affecting millions
worldwide. Antifungal peptides (AFPs) have emerged as a promising alternative to …
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 …
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 …
agents rises during the COVID-19 pandemic. The need for new antibiotics is high, while the …