The United States Environmental Protection Agency’s Center for Computational Toxicology and Exposure
Browse
Poster_for_SOT_Dan_Zang-Final.pdf (347.66 kB)

Estimation of Octanol/Water Partition Coefficient and Aqueous Solubility of Environmental Chemicals Using Molecular Fingerprints and Machine Learning Methods

Download (347.66 kB)
poster
posted on 2017-07-24, 15:17 authored by Qingda Zang, Kamel Mansouri, Richard Judson, 0000-0002-2348-9633
Presented at the Annual Society of Toxicology meeting

History

Usage metrics

    Center for Computational Toxicology and Exposure

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC