PURPOSE: Identify mechanism of action (MoA) from animal phenotype models
OVERVIEW: BioSymetrics leverages a proprietary machine learning platform (Augusta™) to generate structure-based activity predictions. This in combination with a vertebrate, in vivo phenotypic profiling framework has allowed us to make phenotype-mechanism association predictions across a range of potential clinical applications.
INPUT: Chemical structures, experimental datasets (public and private)
OUTPUT: Implicated pathways/processes
USE CASE: Phenotype MoA Prediction

Hover on the numbered hot spots above to reveal each stage of progression
USER BENEFITS:
- More certainty of compound effects in vivo
- Fewer off-target effect “surprises”/ reduced toxicity
- leverage multiple experimental and public datasets
- Increased confidence in lead compounds
- Shorter path to market
PREVIOUS APPLICATIONS: Identification of causal pathway in cardiovascular, metabolomic, and neurological models