[HTML][HTML] Prediction of antimicrobial peptides toxicity based on their physico-chemical properties using machine learning techniques
Background Antimicrobial peptides are promising tools to fight against ever-growing
antibiotic resistance. However, despite many advantages, their toxicity to mammalian cells is …
antibiotic resistance. However, despite many advantages, their toxicity to mammalian cells is …
[HTML][HTML] Prediction of antimicrobial peptides based on sequence alignment and feature selection methods
Antimicrobial peptides (AMPs) represent a class of natural peptides that form a part of the
innate immune system, and this kind of 'nature's antibiotics' is quite promising for solving the …
innate immune system, and this kind of 'nature's antibiotics' is quite promising for solving the …
A cumulative strategy to predict and characterize antimicrobial peptides (AMPs) from protein database
Antimicrobial peptides (AMPs) are indivisible part of the innate immune system in
invertebrates. AMPs have been proven to have crucial role with a wide range of biological …
invertebrates. AMPs have been proven to have crucial role with a wide range of biological …
[HTML][HTML] Prediction of linear cationic antimicrobial peptides active against gram-negative and gram-positive bacteria based on machine learning models
Antimicrobial peptides (AMPs) are considered as promising alternatives to conventional
antibiotics in order to overcome the growing problems of antibiotic resistance …
antibiotics in order to overcome the growing problems of antibiotic resistance …
Knowledge-based computational methods for identifying or designing novel, non-homologous antimicrobial peptides
We describe computational approaches for identifying promising lead candidates for the
development of peptide antibiotics, in the context of quantitative structure–activity …
development of peptide antibiotics, in the context of quantitative structure–activity …
Application of 'HESH'descriptors for the structure-activity relationships of antimicrobial peptides
M Shu, Y Jiang, L Yang, Y Wu, H Mei… - Protein and Peptide …, 2009 - ingentaconnect.com
In this paper, HESH, which was a new set of amino acid descriptors including Hydrophobic,
Electronic, Steric and Hydrogen bond contribution properties, were derived from multi …
Electronic, Steric and Hydrogen bond contribution properties, were derived from multi …
AI4AMP: an antimicrobial Peptide predictor using physicochemical property-Based encoding method and deep learning
Antimicrobial peptides (AMPs) are innate immune components that have recently stimulated
considerable interest among drug developers due to their potential as antibiotic substitutes …
considerable interest among drug developers due to their potential as antibiotic substitutes …
ADAPTABLE: A comprehensive web platform of antimicrobial peptides tailored to the user's research
Antimicrobial peptides (AMPs) are part of the innate immune response to pathogens in all of
the kingdoms of life. They have received significant attention because of their extraordinary …
the kingdoms of life. They have received significant attention because of their extraordinary …
PyAMPA: a high-throughput prediction and optimization tool for antimicrobial peptides
M Ramos-Llorens, R Bello-Madruga, J Valle… - …, 2024 - journals.asm.org
The alarming rise of antibiotic-resistant bacterial infections is driving efforts to develop
alternatives to conventional antibiotics. In this context, antimicrobial peptides (AMPs) have …
alternatives to conventional antibiotics. In this context, antimicrobial peptides (AMPs) have …
Discovering new in silico tools for antimicrobial peptide prediction
M Torrent, M Victoria Nogues, E Boix - Current drug targets, 2012 - ingentaconnect.com
Antimicrobial peptides (AMPs) are important effectors of the innate immune system and play
a vital role in the prevention of infections. Due to the increased emergence of new antibiotic …
a vital role in the prevention of infections. Due to the increased emergence of new antibiotic …