Project description:In order to determine the mechanism of Cajanin Stilbene Acid inhibiting vancomycin-resistant enterococci, we compared the changes in protein expression of enterococci V583 strain before and after treated by Cajanin Stilbene Acid.
Project description:Understanding novel mechanism bacteria ustilize in the clinics to become resistant to antibiotics is critical. The study aims to identify genes associated with Vancomycin resistance. Clinical isolates from a single patient with increasing resistance to vancomycin were grown in the presence and absence of vancomycin.Staphylococcus aureus strain 2275 is the reference for this series.
Project description:Investigation of baseline transcription activity of two different clinical isolates of Staphylococcus aureus with two different susceptibility levels to the antibiotics Vancomycin and Daptomycin. Two different strains of Staphylococcus aureus, one that is fully Vancomycin and Daptomycin Sensitive and one with decreased Vancomycin and Daptomycin Sensitivity - grown to mid-log phase in rich broth.
Project description:The authors use a large dataset (>30k) to train an explainable graph-based model to identify potential antibiotics with low cytotoxicity. The model uses a substructure-based approach to explore the chemical space. Using this method, they were able to screen 283 compounds and identify a candidate active against methicillin-resistant S. aureus (MRSA) and vancomycin-resistant enterococci.
Model Type: Predictive machine learning model.
Model Relevance: Prediction of Human cytotoxicity endpoints.
Model Encoded by: Sarima Chiorlu (Ersilia)
Metadata Submitted in BioModels by: Zainab Ashimiyu-Abdusalam
Implementation of this model code by Ersilia is available here:
https://github.com/ersilia-os/eos42ez
