(640a) Intelligent High-Throughput Intervention Testing Platform in Daphnia
AIChE Annual Meeting
Advances in Drug Discovery Processes (including HTE): Protein Engineering Approaches with Target Therapeutic Applications
Thursday, November 17, 2022 - 12:30pm to 12:51pm
In this study, we present a novel platform for testing the effect of interventions on life- and health-span of a short-lived semi-transparent freshwater organism, sensitive to drugs with complex behavior and physiology â the planktonic crustacean Daphnia magna. Within this platform, dozens of complex behavioral features of both routine motion and response to stimuli are continuously accurately quantified for large homogeneous cohorts via an automated phenotyping pipeline. We build predictive machine learning models calibrated using chronological age and extrapolate onto phenotypic age. We further apply the model to estimate the phenotypic age under pharmacological perturbations including metformin and rapamycin. Our platform provides a scalable framework for drug screening and characterization in both life-long and instant assays as illustrated using a long-term dose-response profile of metformin and a short-term assay of well-studied substances such as caffeine and alcohol.