AIMC Topic: Antimicrobial Cationic Peptides

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AMPlify: attentive deep learning model for discovery of novel antimicrobial peptides effective against WHO priority pathogens.

BMC genomics Jan 25, 2022
BACKGROUND: Antibiotic resistance is a growing global health concern prompting researchers to seek alternatives to conventional antibiotics. Antimicrobial peptides (AMPs) are attracting attention again as therapeutic agents with promising utility in ...
Attention World Health Organization Antimicrobial Peptides Anti-Bacterial Agents Deep Learning Antimicrobial Cationic Peptides
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Combining genetic algorithm with machine learning strategies for designing potent antimicrobial peptides.

BMC bioinformatics May 11, 2021
BACKGROUND: Current methods in machine learning provide approaches for solving challenging, multiple constraint design problems. While deep learning and related neural networking methods have state-of-the-art performance, their vulnerability in decis...
Drug Resistance, Microbial Amino Acid Sequence Pore Forming Cytotoxic Proteins Machine Learning Antimicrobial Cationic Peptides
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Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulations.

Nature biomedical engineering Mar 11, 2021
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 an efficient computational method for the generation of antimicrob...
Anti-Bacterial Agents Drug Resistance, Bacterial Drug Discovery Deep Learning Microbial Sensitivity Tests Female Animals Drug Design Acinetobacter baumannii Mice, Inbred BALB C Antimicrobial Cationic Peptides Structure-Activity Relationship Molecular Dynamics Simulation Amino Acid Sequence Pseudomonas aeruginosa Klebsiella Infections Escherichia coli Staphylococcus aureus Mice Klebsiella pneumoniae
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Ensemble-AMPPred: Robust AMP Prediction and Recognition Using the Ensemble Learning Method with a New Hybrid Feature for Differentiating AMPs.

Genes Jan 21, 2021
Antimicrobial peptides (AMPs) are natural peptides possessing antimicrobial activities. These peptides are important components of the innate immune system. They are found in various organisms. AMP screening and identification by experimental techniq...
Antimicrobial Cationic Peptides Reproducibility of Results Sensitivity and Specificity Databases, Genetic Machine Learning Software Algorithms
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HAPPENN is a novel tool for hemolytic activity prediction for therapeutic peptides which employs neural networks.

Scientific reports Jul 2, 2020
The growing prevalence of resistance to antibiotics motivates the search for new antibacterial agents. Antimicrobial peptides are a diverse class of well-studied membrane-active peptides which function as part of the innate host defence system, and f...
Hemolysis Sequence Analysis, Protein Hemolytic Agents Software Humans Computer Simulation Antimicrobial Cationic Peptides Neural Networks, Computer Machine Learning
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Detecting antimicrobial peptides by exploring the mutual information of their sequences.

Journal of biomolecular structure & dynamics Dec 18, 2019
The rise of antibiotic resistance in pathogenic bacteria is a growing concern for every part of the world. The present study shows the prediction efficiency of mutual information for the classification of antimicrobial peptides. The proven role of an...
Machine Learning ROC Curve Bacteria Antimicrobial Cationic Peptides Pore Forming Cytotoxic Proteins
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An advanced approach to identify antimicrobial peptides and their function types for penaeus through machine learning strategies.

BMC bioinformatics Jun 10, 2019
BACKGROUND: Antimicrobial peptides (AMPs) are essential components of the innate immune system and can protect the host from various pathogenic bacteria. The marine environment is known to be one of the richest sources for AMPs. Effective usage of AM...
Machine Learning Antimicrobial Cationic Peptides Amino Acid Sequence Penaeidae Reproducibility of Results Animals Databases, Protein
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Antimicrobial Characteristics of Lactic Acid Bacteria Isolated from Homemade Fermented Foods.

BioMed research international Dec 30, 2018
. Lactic acid bacteria (LAB) were isolated from fermented foods, such as glutinous rice dough, corn noodle, chili sauce, potherb mustard pickles, and stinky tofu, in northeast China. LAB strains with antimicrobial activities were screened, and seven ...
Fermented Foods Lactobacillales Antimicrobial Cationic Peptides Colony Count, Microbial DNA, Bacterial RNA, Ribosomal, 16S Staphylococcus aureus Anti-Bacterial Agents Microbial Sensitivity Tests
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Antibacterial activity and its mechanisms of a recombinant Funme peptide against Cronobacter sakazakii in powdered infant formula.

Food research international (Ottawa, Ont.) Aug 13, 2018
Cronobacter sakazakii (Cs) is a typical foodborne bacterium that infect powdered infant formula (PIF) worldwide. In this study, a recombinant antimicrobial peptide, branded as Funme peptide (FP)was applied to protect PIF from Cs contamination. The re...
Biological Control Agents Cell Membrane Permeability Bacteria Antimicrobial Cationic Peptides Cronobacter sakazakii Powders Infant Food Contamination Infant Formula Ampicillin Humans Food Microbiology Biofilms Amino Acid Sequence Erythrocytes Anti-Bacterial Agents Microbial Sensitivity Tests Food Handling
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Predictive Model of Linear Antimicrobial Peptides Active against Gram-Negative Bacteria.

Journal of chemical information and modeling May 11, 2018
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 AMPs. Most of them can only predict if a peptide will show any antimicro...
Computer Simulation Models, Theoretical Cluster Analysis Antimicrobial Cationic Peptides Gram-Negative Bacteria Machine Learning
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