Antimicrobial peptides: an update on classifications and databases

A Bin Hafeez, X Jiang, PJ Bergen, Y Zhu - International journal of …, 2021 - mdpi.com
Antimicrobial peptides (AMPs) are distributed across all kingdoms of life and are an
indispensable component of host defenses. They consist of predominantly short cationic …

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 …

Strategic approaches to improvise peptide drugs as next generation therapeutics

P Barman, S Joshi, S Sharma, S Preet… - International journal of …, 2023 - Springer
In recent years, the occurrence of a wide variety of drug-resistant diseases has led to an
increase in interest in alternate therapies. Peptide-based drugs as an alternate therapy hold …

Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides

J Xu, F Li, A Leier, D Xiang, HH Shen… - Briefings in …, 2021 - academic.oup.com
Antimicrobial peptides (AMPs) are a unique and diverse group of molecules that play a
crucial role in a myriad of biological processes and cellular functions. AMP-related studies …

Benchmarks in antimicrobial peptide prediction are biased due to the selection of negative data

K Sidorczuk, P Gagat, F Pietluch, J Kała… - Briefings in …, 2022 - academic.oup.com
Antimicrobial peptides (AMPs) are a heterogeneous group of short polypeptides that target
not only microorganisms but also viruses and cancer cells. Due to their lower selection for …

Artificial intelligence as a smart approach to develop antimicrobial drug molecules: A paradigm to combat drug-resistant infections

A Talat, AU Khan - Drug Discovery Today, 2023 - Elsevier
Highlights•Artificial intelligence can combat AMR by discovering antibiotic alternatives.•AI is
fast, cost-efficient, minimum labour dependant strategy.•The chances of failure in AI based …

Machine learning prediction of antimicrobial peptides

G Wang, II Vaisman, ML van Hoek - Computational peptide science …, 2022 - Springer
Antibiotic resistance constitutes a global threat and could lead to a future pandemic. One
strategy is to develop a new generation of antimicrobials. Naturally occurring antimicrobial …

iAMPCN: a deep-learning approach for identifying antimicrobial peptides and their functional activities

J Xu, F Li, C Li, X Guo, C Landersdorfer… - Briefings in …, 2023 - academic.oup.com
Antimicrobial peptides (AMPs) are short peptides that play crucial roles in diverse biological
processes and have various functional activities against target organisms. Due to the abuse …

Computational methods and tools in antimicrobial peptide research

PGA Aronica, LM Reid, N Desai, J Li… - Journal of Chemical …, 2021 - ACS Publications
The evolution of antibiotic-resistant bacteria is an ongoing and troubling development that
has increased the number of diseases and infections that risk going untreated. There is an …

Accelerating the discovery and design of antimicrobial peptides with artificial intelligence

MC Aguilera-Puga, NL Cancelarich, MM Marani… - … drug discovery and …, 2023 - Springer
Peptides modulate many processes of human physiology targeting ion channels, protein
receptors, or enzymes. They represent valuable starting points for the development of new …