High-throughput behavioral screen in C. elegans reveals Parkinson's disease drug candidates.
Ontology highlight
ABSTRACT: We recently linked branched-chain amino acid transferase 1 (BCAT1) dysfunction with the movement disorder Parkinson's disease (PD), and found that RNAi-mediated knockdown of neuronal bcat-1 in C. elegans causes abnormal spasm-like 'curling' behavior with age. Here we report the development of a machine learning-based workflow and its application to the discovery of potentially new therapeutics for PD. In addition to simplifying quantification and maintaining a low data overhead, our simple segment-train-quantify platform enables fully automated scoring of image stills upon training of a convolutional neural network. We have trained a highly reliable neural network for the detection and classification of worm postures in order to carry out high-throughput curling analysis without the need f
SUBMITTER: Sohrabi S
PROVIDER: S-EPMC7884385 | biostudies-literature | 2021 Feb
REPOSITORIES: biostudies-literature
ACCESS DATA