Train models
Create target-specific machine learning models by entering a target, selecting molecular representations, and choosing the algorithms to train.
Your workspace for target-based AI discovery.
PreditX® is an asynchronous discovery workspace. Start by entering a biological target, select the molecular representations and machine learning models you want to train, then use completed models to screen molecules and review ranked outputs with ADMET context.
Use these three steps in order. You can leave the app while training or screening runs; jobs continue asynchronously and can be checked later.
Create target-specific machine learning models by entering a target, selecting molecular representations, and choosing the algorithms to train.
After models are trained, screen molecules using a completed training job. You can upload your own database, paste SMILES directly, or use the PreditX® internal database.
Review ranked molecules, prediction confidence, consensus signals, and the ADMET profile generated for the screened molecules.
Training and screening jobs run asynchronously. After submitting a job, you can return to the dashboard or screening job list to check status, open completed outputs, and download reports.
PreditX® outputs should support scientific prioritization. Predictions, model confidence, consensus agreement, and ADMET signals should be reviewed together with medicinal chemistry judgement and experimental feasibility.
The platform helps reduce the search space and focus follow-up decisions, but it does not replace expert interpretation or experimental validation.