Antimicrobial peptides: from design to clinical application
Infection of multidrug-resistant (MDR) bacteria, such as methicillin-resistant Staphylococcus
aureus (MRSA), carbapenem-resistant Enterobacteriaceae (CRE), and extended-spectrum …
aureus (MRSA), carbapenem-resistant Enterobacteriaceae (CRE), and extended-spectrum …
A review on antimicrobial peptides databases and the computational tools
Abstract Antimicrobial Peptides (AMPs) have been considered as potential alternatives for
infection therapeutics since antibiotic resistance has been raised as a global problem. The …
infection therapeutics since antibiotic resistance has been raised as a global problem. The …
CAMPR4: a database of natural and synthetic antimicrobial peptides
There has been an exponential increase in the design of synthetic antimicrobial peptides
(AMPs) for its use as novel antibiotics. Synthetic AMPs are substantially enriched in residues …
(AMPs) for its use as novel antibiotics. Synthetic AMPs are substantially enriched in residues …
sAMPpred-GAT: prediction of antimicrobial peptide by graph attention network and predicted peptide structure
K Yan, H Lv, Y Guo, W Peng, B Liu - Bioinformatics, 2023 - academic.oup.com
Abstract Motivation Antimicrobial peptides (AMPs) are essential components of therapeutic
peptides for innate immunity. Researchers have developed several computational methods …
peptides for innate immunity. Researchers have developed several computational methods …
Immunomodulatory and allergenic properties of antimicrobial peptides
SV Guryanova, TV Ovchinnikova - International journal of molecular …, 2022 - mdpi.com
With the growing problem of the emergence of antibiotic-resistant bacteria, the search for
alternative ways to combat bacterial infections is extremely urgent. While analyzing the effect …
alternative ways to combat bacterial infections is extremely urgent. While analyzing the effect …
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 …
iAMPCN: a deep-learning approach for identifying antimicrobial peptides and their functional activities
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 …
processes and have various functional activities against target organisms. Due to the abuse …
ToxinPred 3.0: An improved method for predicting the toxicity of peptides
Toxicity emerges as a prominent challenge in the design of therapeutic peptides, causing
the failure of numerous peptides during clinical trials. In 2013, our group developed …
the failure of numerous peptides during clinical trials. In 2013, our group developed …
Deep learning tools to accelerate antibiotic discovery
Introduction As machine learning (ML) and artificial intelligence (AI) expand to many
segments of our society, they are increasingly being used for drug discovery. Recent deep …
segments of our society, they are increasingly being used for drug discovery. Recent deep …
Machine learning in antibacterial drug design
M Jukič, U Bren - Frontiers in Pharmacology, 2022 - frontiersin.org
Advances in computer hardware and the availability of high-performance supercomputing
platforms and parallel computing, along with artificial intelligence methods are successfully …
platforms and parallel computing, along with artificial intelligence methods are successfully …