Flame model Pregnane X receptor activation
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Dataset containing a Flame QSAR model for predicting Pregnane X receptor activation. The model is described in the metadata.txt file. The PXR_FAIR.tgz file can be imported into any instance of the open-source Flame (https://github.com/phi-grib/flame) and be used for predicting the properties of chemical substances from their 2D structure' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Machine Learning","QSAR model","Toxicology"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Dataset containing a Flame QSAR model for predicting Pregnane X receptor activation. The model is described in the metadata.txt file. The PXR_FAIR.tgz file can be imported into any instance of the open-source Flame (https://github.com/phi-grib/flame) and be used for predicting the properties of chemical substances from their 2D structure' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Dataset containing a Flame QSAR model for predicting Pregnane X receptor activation. The model is described in the metadata.txt file. The PXR_FAIR.tgz file can be imported into any instance of the open-source Flame (https://github.com/phi-grib/flame) and be used for predicting the properties of chemical substances from their 2D structure
Machine Learning; QSAR model; Toxicology