AIMC Topic: Yersinia pestis

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Machine-Learning-Based Predictor of Human-Bacteria Protein-Protein Interactions by Incorporating Comprehensive Host-Network Properties.

Journal of proteome research Apr 22, 2019
The large-scale identification of protein-protein interactions (PPIs) between humans and bacteria remains a crucial step in systematically understanding the underlying molecular mechanisms of bacterial infection. Computational prediction approaches a...
Humans Machine Learning Protein Binding Proteome Models, Statistical Databases, Protein Area Under Curve Gene Expression Bacterial Proteins Host-Pathogen Interactions Yersinia pestis Protein Interaction Mapping Bacillus anthracis Eukaryotic Cells Molecular Mimicry Francisella tularensis
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Design, synthesis, antibacterial evaluation and molecular docking studies of some new quinoxaline derivatives targeting dihyropteroate synthase enzyme.

Bioorganic chemistry Dec 5, 2017
Development of new antimicrobial agents is a good solution to overcome drug-resistance problems. From this perspective, new quinoxaline derivatives bearing various bioactive heterocyclic moieties (thiadiazoles, oxadiazoles, pyrazoles and thiazoles) w...
Anti-Bacterial Agents Molecular Docking Simulation Drug Design Microbial Sensitivity Tests Protein Binding Structure-Activity Relationship Molecular Structure Hydrophobic and Hydrophilic Interactions Catalytic Domain Gram-Negative Bacteria Gram-Positive Bacteria Hydrogen Bonding Dihydropteroate Synthase Quinoxalines Levofloxacin Yersinia pestis
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