Leveraging heterogeneous data from GHS toxicity annotations, molecular and protein target descriptors and Tox21 assay readouts to predict and rationalise acute toxicity

Chad Allen, Lewis Mervin, Samar Mahmoud & Andreas Bender
Despite the increasing knowledge in both the chemical and biological domains the assimilation and exploration of heterogeneous datasets, encoding information about the chemical, bioactivity and phenotypic properties of compounds, remains a challenge due to requirement for overlap between chemicals assayed across the spaces. Here, we have constructed a novel dataset, larger than we have used in prior work, comprising 579 acute oral toxic compounds and 1,427 non-toxic compounds derived from regulatory GHS information, along with...

Registration Year

  • 2019
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Resource Types

  • Text
    1

Data Centers

  • University of Cambridge
    1