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Dataset Information

Behavioral fingerprints predict insecticide and anthelmintic mode of action.


ABSTRACT: Novel invertebrate-killing compounds are required in agriculture and medicine to overcome resistance to existing treatments. Because insecticides and anthelmintics are discovered in phenotypic screens, a crucial step in the discovery process is determining the mode of action of hits. Visible whole-organism symptoms are combined with molecular and physiological data to determine mode of action. However, manual symptomology is laborious and requires symptoms that are strong enough to see by eye. Here, we use high-throughput imaging and quantitative phenotyping to measure Caenorhabditis elegans behavioral responses to compounds and train a classifier that predicts mode of action with an accuracy of 88% for a set of ten common modes of action. We also classify compounds within each mode of act

SUBMITTER: McDermott-Rouse A 

PROVIDER: S-EPMC8144879 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature