AIMC Topic: Bacteriocins

Clear Filters Showing 1 to 5 of 5 articles

Identifying and characterization of novel broad-spectrum bacteriocins from the Shanxi aged vinegar microbiome: Machine learning, molecular simulation, and activity validation.

International journal of biological macromolecules May 9, 2024
Shanxi aged vinegar microbiome encodes a wide variety of bacteriocins. The aim of this study was to mine, screen and characterize novel broad-spectrum bacteriocins from the large-scale microbiome data of Shanxi aged vinegar through machine learning, ...
Machine Learning Anti-Bacterial Agents Molecular Docking Simulation Microbial Sensitivity Tests Escherichia coli Staphylococcus aureus Molecular Dynamics Simulation Microbiota Acetic Acid Bacteriocins
View on PubMed DOI

RMSCNN: A Random Multi-Scale Convolutional Neural Network for Marine Microbial Bacteriocins Identification.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2022
The abuse of traditional antibiotics has led to an increase in the resistance of bacteria and viruses. Similar to the function of antibacterial peptides, bacteriocins are more common as a kind of peptides produced by bacteria that have bactericidal o...
Neural Networks, Computer Anti-Bacterial Agents Peptides Drug Discovery Bacteria Sequence Analysis, DNA Aquatic Organisms Bacteriocins
View on PubMed DOI

Discovery of Novel Type II Bacteriocins Using a New High-Dimensional Bioinformatic Algorithm.

Frontiers in immunology Sep 3, 2020
Antimicrobial compounds first arose in prokaryotes by necessity for competitive self-defense. In this light, prokaryotes invented the first host defense peptides. Among the most well-characterized of these peptides are class II bacteriocins, ribosoma...
Machine Learning Computational Biology Bacteriocins
View on PubMed DOI

Sequence-based analysis and prediction of lantibiotics: A machine learning approach.

Computational biology and chemistry Oct 9, 2018
Lantibiotics, an important group of ribosomally synthesized peptides, represent an important arsenal of novel promising antimicrobials showing high potency in fighting against the prevalence of antibiotic resistance among microbial pathogens. However...
Machine Learning Algorithms Anti-Bacterial Agents Computer-Aided Design Drug Design Amino Acid Sequence Leucine Glutamic Acid Bacteriocins
View on PubMed DOI

Recognizing and Predicting Thioether Bridges Formed by Lanthionine and β-Methyllanthionine in Lantibiotics Using a Random Forest Approach with Feature Selection.

Combinatorial chemistry & high throughput screening Jan 1, 2017
BACKGROUND: Lantibiotics, which are usually produced from Gram-positive bacteria, are regarded as one type of special bacteriocins. Lantibiotics have unsaturated amino acid residues formed by lanthionine (Lan) and β-methyllanthionine (MeLan) residues...
Machine Learning Databases, Protein Sulfides Alanine Bacteriocins
View on PubMed DOI
Popular Topics
Recent Journals