Designing antimicrobial peptides using deep learning and molecular dynamic simulations

Q Cao, C Ge, X Wang, PJ Harvey… - Briefings in …, 2023 - academic.oup.com
With the emergence of multidrug-resistant bacteria, antimicrobial peptides (AMPs) offer
promising options for replacing traditional antibiotics to treat bacterial infections, but …

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 …

Deep learning regression model for antimicrobial peptide design

J Witten, Z Witten - BioRxiv, 2019 - biorxiv.org
Antimicrobial peptides (AMPs) are naturally occurring or synthetic peptides that show
promise for treating antibiotic-resistant pathogens. Machine learning techniques are …

AMPlify: attentive deep learning model for discovery of novel antimicrobial peptides effective against WHO priority pathogens

C Li, D Sutherland, SA Hammond, C Yang, F Taho… - BMC genomics, 2022 - Springer
Background Antibiotic resistance is a growing global health concern prompting researchers
to seek alternatives to conventional antibiotics. Antimicrobial peptides (AMPs) are attracting …

[HTML][HTML] Rational discovery of antimicrobial peptides by means of artificial intelligence

P Ruiz Puentes, MC Henao, J Cifuentes… - Membranes, 2022 - mdpi.com
Antibiotic resistance is a worldwide public health problem due to the costs and mortality
rates it generates. However, the large pharmaceutical industries have stopped searching for …

AMP‐BERT: Prediction of antimicrobial peptide function based on a BERT model

H Lee, S Lee, I Lee, H Nam - Protein Science, 2023 - Wiley Online Library
Antimicrobial resistance is a growing health concern. Antimicrobial peptides (AMPs) disrupt
harmful microorganisms by nonspecific mechanisms, making it difficult for microbes to …

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 …

[HTML][HTML] Ab initio designed antimicrobial peptides against Gram-negative bacteria

SS Bobde, FM Alsaab, G Wang… - Frontiers in …, 2021 - frontiersin.org
Antimicrobial peptides (AMPs) are ubiquitous amongst living organisms and are part of the
innate immune system with the ability to kill pathogens directly or indirectly by modulating …

[HTML][HTML] Application of a deep generative model produces novel and diverse functional peptides against microbial resistance

J Mao, S Guan, Y Chen, A Zeb, Q Sun, R Lu… - Computational and …, 2023 - Elsevier
Antimicrobial resistance could threaten millions of lives in the immediate future.
Antimicrobial peptides (AMPs) are an alternative to conventional antibiotics practice against …

Intelligent de novo design of novel antimicrobial peptides against antibiotic-resistant bacteria strains

TT Lin, LY Yang, CY Lin, CT Wang, CW Lai… - International journal of …, 2023 - mdpi.com
Because of the growing number of clinical antibiotic resistance cases in recent years, novel
antimicrobial peptides (AMPs) may be ideal for next-generation antibiotics. This study …