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Metadata Files for Structure-based QSAR models to predict repeat dose toxicity points of departure
L o a d i n g
Organization
United State Environmental Protection Agency - view all
Update frequencyunknown
Last updated4 days ago
Format
Overview

This paper describes a model to take chemical structures and predict a property (the point of departure) for a new chemical. No new data were generated. The contents of this zip file contains metadata that you could use to make a model prediction. It does contain all of the code and a help file describing how to run the model. This dataset is associated with the following publication: Pradeep, P., K. Paul-Friedman, and R. Judson. Structure-based QSAR Models to Predict Repeat Dose Toxicity Points of Departure. Computational Toxicology. Elsevier B.V., Amsterdam, NETHERLANDS, 16(November 2020): 100139, (2020).

point of departureqsarrepeat dose toxicitysystemic toxicity
Additional Information
KeyValue
Dcat Modified2020-09-24
Dcat Publisher NameU.S. EPA Office of Research and Development (ORD)
Guidhttps://doi.org/10.23719/1520778
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Files
  • Pradeep et al QSAR Models Supp Data Files.zip