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 …
[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 …
Characterization and identification of antimicrobial peptides with different functional activities
In recent years, antimicrobial peptides (AMPs) have become an emerging area of focus
when developing therapeutics hot spot residues of proteins are dominant against infections …
when developing therapeutics hot spot residues of proteins are dominant against infections …
[HTML][HTML] Recent trends in antimicrobial peptide prediction using machine learning techniques
The importance to develop effective alternatives to known antibiotics due to increased
microbial resistance is gaining momentum in recent years. Therefore, it is of interest to …
microbial resistance is gaining momentum in recent years. Therefore, it is of interest to …
[HTML][HTML] AmPEP: Sequence-based prediction of antimicrobial peptides using distribution patterns of amino acid properties and random forest
Antimicrobial peptides (AMPs) are promising candidates in the fight against multidrug-
resistant pathogens owing to AMPs' broad range of activities and low toxicity. Nonetheless …
resistant pathogens owing to AMPs' broad range of activities and low toxicity. Nonetheless …
Machine learning-enabled predictive modeling to precisely identify the antimicrobial peptides
The ubiquitous antimicrobial peptides (AMPs), with a broad range of antimicrobial activities,
represent a great promise for combating the multi-drug resistant infections. In this study …
represent a great promise for combating the multi-drug resistant infections. In this study …
AMPpred-EL: An effective antimicrobial peptide prediction model based on ensemble learning
Antimicrobial peptides (AMPs) are important for the human immune system and are currently
applied in clinical trials. AMPs have been received much attention for accurate recognition …
applied in clinical trials. AMPs have been received much attention for accurate recognition …
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 …
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 …
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 …
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