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 …
In Vitro and In Vivo Activities of Antimicrobial Peptides Developed Using an Amino Acid-Based Activity Prediction Method
X Wu, Z Wang, X Li, Y Fan, G He, Y Wan… - Antimicrobial agents …, 2014 - Am Soc Microbiol
To design and discover new antimicrobial peptides (AMPs) with high levels of antimicrobial
activity, a number of machine-learning methods and prediction methods have been …
activity, a number of machine-learning methods and prediction methods have been …
Combining genetic algorithm with machine learning strategies for designing potent antimicrobial peptides
Background Current methods in machine learning provide approaches for solving
challenging, multiple constraint design problems. While deep learning and related neural …
challenging, multiple constraint design problems. While deep learning and related neural …
Target-AMP: Computational prediction of antimicrobial peptides by coupling sequential information with evolutionary profile
Antimicrobial peptides (AMPs) are gaining a lot of attention as cutting-edge treatments for
many infectious disorders. The effectiveness of AMPs against bacteria, fungi, and viruses …
many infectious disorders. The effectiveness of AMPs against bacteria, fungi, and viruses …
Improving recognition of antimicrobial peptides and target selectivity through machine learning and genetic programming
Growing bacterial resistance to antibiotics is spurring research on utilizing naturally-
occurring antimicrobial peptides (AMPs) as templates for novel drug design. While …
occurring antimicrobial peptides (AMPs) as templates for novel drug design. While …
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 …
PepVAE: variational autoencoder framework for antimicrobial peptide generation and activity prediction
SN Dean, JAE Alvarez, D Zabetakis… - Frontiers in …, 2021 - frontiersin.org
New methods for antimicrobial design are critical for combating pathogenic bacteria in the
post-antibiotic era. Fortunately, competition within complex communities has led to the …
post-antibiotic era. Fortunately, competition within complex communities has led to the …
Predictive model of linear antimicrobial peptides active against gram-negative bacteria
B Vishnepolsky, A Gabrielian, A Rosenthal… - Journal of chemical …, 2018 - ACS Publications
Antimicrobial peptides (AMPs) have been identified as a potential new class of anti-
infectives for drug development. There are a lot of computational methods that try to predict …
infectives for drug development. There are a lot of computational methods that try to predict …
What can machine learning do for antimicrobial peptides, and what can antimicrobial peptides do for machine learning?
Antimicrobial peptides (AMPs) are a diverse class of well-studied membrane-permeating
peptides with important functions in innate host defense. In this short review, we provide a …
peptides with important functions in innate host defense. In this short review, we provide a …
A novel antibacterial peptide recognition algorithm based on BERT
Y Zhang, J Lin, L Zhao, X Zeng… - Briefings in bioinformatics, 2021 - academic.oup.com
As the best substitute for antibiotics, antimicrobial peptides (AMPs) have important research
significance. Due to the high cost and difficulty of experimental methods for identifying …
significance. Due to the high cost and difficulty of experimental methods for identifying …