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Antimicrobial peptides: An alternative to traditional antibiotics
S Ji, F An, T Zhang, M Lou, J Guo, K Liu, Y Zhu… - European Journal of …, 2024 - Elsevier
As antibiotic-resistant bacteria and genes continue to emerge, the identification of effective
alternatives to traditional antibiotics has become a pressing issue. Antimicrobial peptides …
alternatives to traditional antibiotics has become a pressing issue. Antimicrobial peptides …
Unlocking the potential of generative AI in drug discovery
A Gangwal, A Lavecchia - Drug Discovery Today, 2024 - Elsevier
Highlights•Artificial intelligence (AI) is transforming the drug discovery process by providing
actionable insights from huge amount of data.•Deep-learning models, especially generative …
actionable insights from huge amount of data.•Deep-learning models, especially generative …
Peptide-based drug discovery through artificial intelligence: towards an autonomous design of therapeutic peptides
With their diverse biological activities, peptides are promising candidates for therapeutic
applications, showing antimicrobial, antitumour and hormonal signalling capabilities …
applications, showing antimicrobial, antitumour and hormonal signalling capabilities …
Deep learning for advancing peptide drug development: Tools and methods in structure prediction and design
X Wu, H Lin, R Bai, H Duan - European Journal of Medicinal Chemistry, 2024 - Elsevier
Peptides can bind challenging disease targets with high affinity and specificity, offering
enormous opportunities for addressing unmet medical needs. However, peptides' unique …
enormous opportunities for addressing unmet medical needs. However, peptides' unique …
Explore drug-like space with deep generative models
The process of design/discovery of drugs involves the identification and design of novel
molecules that have the desired properties and bind well to a given disease-relevant target …
molecules that have the desired properties and bind well to a given disease-relevant target …
TP-LMMSG: a peptide prediction graph neural network incorporating flexible amino acid property representation
Bioactive peptide therapeutics has been a long-standing research topic. Notably, the
antimicrobial peptides (AMPs) have been extensively studied for its therapeutic potential …
antimicrobial peptides (AMPs) have been extensively studied for its therapeutic potential …
Harnessing AI for Enhanced Screening of Antimicrobial Bioactive Compounds in Food Safety and Preservation
Background Microbial contamination in the global food industry, driven by the increasing
foodborne illness and food spoilage, brought the antimicrobial bioactive compounds into …
foodborne illness and food spoilage, brought the antimicrobial bioactive compounds into …
[HTML][HTML] Silicon versus Superbug: Assessing Machine Learning's Role in the Fight against Antimicrobial Resistance
T Coxe, RK Azad - Antibiotics, 2023 - mdpi.com
In his 1945 Nobel Prize acceptance speech, Sir Alexander Fleming warned of antimicrobial
resistance (AMR) if the necessary precautions were not taken diligently. As the growing …
resistance (AMR) if the necessary precautions were not taken diligently. As the growing …
The multiverse of action: how mechanisms of synthetic antifungal peptides could be employed in the food industry
Fungal contamination is among the leading causes of food spoilage promoting serious risks
to human health and economic losses. In 2021, 135 billion pounds of food, estimated at …
to human health and economic losses. In 2021, 135 billion pounds of food, estimated at …
A Conditional Denoising VAE-based Framework for Antimicrobial Peptides Generation with Preserving Desirable Properties
W Zhao, K Hou, Y Shen, X Hu - Bioinformatics, 2025 - academic.oup.com
Motivation The widespread use of antibiotics has led to the emergence of resistant
pathogens. Antimicrobial peptides (AMPs) combat bacterial infections by disrupting the …
pathogens. Antimicrobial peptides (AMPs) combat bacterial infections by disrupting the …