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 …

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 …

Explore drug-like space with deep generative models

J Wang, J Mao, M Wang, X Le, Y Wang - Methods, 2023 - Elsevier
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 …

TP-LMMSG: a peptide prediction graph neural network incorporating flexible amino acid property representation

N Chen, J Yu, L Zhe, F Wang, X Li… - Briefings in …, 2024 - academic.oup.com
Bioactive peptide therapeutics has been a long-standing research topic. Notably, the
antimicrobial peptides (AMPs) have been extensively studied for its therapeutic potential …

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 …

The multiverse of action: how mechanisms of synthetic antifungal peptides could be employed in the food industry

JJL Silva, MRA de Miranda, PFN Souza - Current Opinion in Food Science, 2023 - Elsevier
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 …

Harnessing AI for Enhanced Screening of Antimicrobial Bioactive Compounds in Food Safety and Preservation

M Zhou, JCR Lima, H Zhao, J Zhang, C Xu… - Trends in Food Science …, 2025 - Elsevier
Background Microbial contamination in the global food industry, driven by the increasing
foodborne illness and food spoilage, brought the antimicrobial bioactive compounds into …

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 …

Peptide-based drug discovery through artificial intelligence: towards an autonomous design of therapeutic peptides

M Goles, A Daza, G Cabas-Mora… - Briefings in …, 2024 - academic.oup.com
With their diverse biological activities, peptides are promising candidates for therapeutic
applications, showing antimicrobial, antitumour and hormonal signalling capabilities …

Divergent Approaches to Antimicrobial Peptide Classification: A Comparative Evaluation of AI Techniques

S Rajagopal, S Doss - 2024 7th International Conference on …, 2024 - ieeexplore.ieee.org
Given the global rise in antibiotic resistance, antimicrobial peptides (AMPs) provide a viable
substitute for traditional antibiotics. Through a comparison of transformer-based, deep …