The value of antimicrobial peptides in the age of resistance
M Magana, M Pushpanathan, AL Santos… - The lancet infectious …, 2020 - thelancet.com
Accelerating growth and global expansion of antimicrobial resistance has deepened the
need for discovery of novel antimicrobial agents. Antimicrobial peptides have clear …
need for discovery of novel antimicrobial agents. Antimicrobial peptides have clear …
Membrane active antimicrobial peptides: translating mechanistic insights to design
J Li, JJ Koh, S Liu, R Lakshminarayanan… - Frontiers in …, 2017 - frontiersin.org
Antimicrobial peptides (AMPs) are promising next generation antibiotics that hold great
potential for combating bacterial resistance. AMPs can be both bacteriostatic and …
potential for combating bacterial resistance. AMPs can be both bacteriostatic and …
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 …
Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulations
The de novo design of antimicrobial therapeutics involves the exploration of a vast chemical
repertoire to find compounds with broad-spectrum potency and low toxicity. Here, we report …
repertoire to find compounds with broad-spectrum potency and low toxicity. Here, we report …
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 …
cACP-DeepGram: classification of anticancer peptides via deep neural network and skip-gram-based word embedding model
Cancer is a Toxic health concern worldwide, it happens when cellular modifications cause
the irregular growth and division of human cells. Several traditional approaches such as …
the irregular growth and division of human cells. Several traditional approaches such as …
Machine intelligence in peptide therapeutics: A next‐generation tool for rapid disease screening
S Basith, B Manavalan, T Hwan Shin… - Medicinal research …, 2020 - Wiley Online Library
Discovery and development of biopeptides are time‐consuming, laborious, and dependent
on various factors. Data‐driven computational methods, especially machine learning (ML) …
on various factors. Data‐driven computational methods, especially machine learning (ML) …
Deep learning improves antimicrobial peptide recognition
Motivation Bacterial resistance to antibiotics is a growing concern. Antimicrobial peptides
(AMPs), natural components of innate immunity, are popular targets for developing new …
(AMPs), natural components of innate immunity, are popular targets for developing new …
A bioinformatic study of antimicrobial peptides identified in the Black Soldier Fly (BSF) Hermetia illucens (Diptera: Stratiomyidae)
Antimicrobial peptides (AMPs) play a key role in the innate immunity, the first line of defense
against bacteria, fungi, and viruses. AMPs are small molecules, ranging from 10 to 100 …
against bacteria, fungi, and viruses. AMPs are small molecules, ranging from 10 to 100 …
Predicting antimicrobial peptides with improved accuracy by incorporating the compositional, physico-chemical and structural features into Chou's general PseAAC
Antimicrobial peptides (AMPs) are important components of the innate immune system that
have been found to be effective against disease causing pathogens. Identification of AMPs …
have been found to be effective against disease causing pathogens. Identification of AMPs …