Liu2023 - Acinetobacter baumannii growth inhibition prediction with Deep Learning

ABSTRACT: This model is a Chemprop neural network trained with a growth inhibition dataset. Authors screened ~7,500 molecules for those that inhibited the growth of A. baumannii in vitro. They discovered abaucin, an antibacterial compound with narrow-spectrum activity against A. baumannii. Model Type: Predictive machine learning model. Model Relevance: The model predicts the probability of growth inhibition of the bacteria A. Baumannii. Model Encoded by: Miquel Duran-frigola (Ersilia) Metadata Submitted in BioModels by: Zainab Ashimiyu-Abdusalam Implementation of this model code by Ersilia is available here: https://github.com/ersilia-os/eos3804

SUBMITTER: Zainab Ashimiyu-Abdusalam  

PROVIDER: MODEL2405080001 | BioModels | 2024-05-28

REPOSITORIES: BioModels