Prioritize earlier
Compare candidate compounds at the point where design changes are faster and less expensive to make.
Cytocast Digital Twin for Optibrium StarDrop
CytoRisk Score brings Cytocast Digital Twin intelligence into Optibrium StarDrop, helping discovery teams assess and compare compound-level development risk within their existing workflow.
An Optibrium StarDrop Model Server extension.
Model Server extension
Cytocast Digital Twin — Development Risk Score
CytoRisk Score estimates an overall developability risk score from 0 to 100 for a candidate compound. The score supports earlier assessment of potential risk from toxicity, off-target activity, poor selectivity, and unfavourable ADMET properties.
Run the model within StarDrop and evaluate its result alongside your existing compound properties, project criteria, and experimental evidence.
Compare candidate compounds at the point where design changes are faster and less expensive to make.
Apply one interpretable 0–100 score to support compound triage and guide more focused follow-up.
Access the result through the Optibrium Model Server workflow without moving compound data into another tool.
Reading the score
Lower scores suggest a cleaner predicted profile. Higher scores identify compounds that may need further review with medicinal chemistry knowledge and experimental evidence.
Indicates a cleaner predicted profile and stronger potential as a viable development candidate.
Indicates potential liabilities that should be assessed with available profiling and experimental data.
Flags compounds that may face safety, selectivity, side-effect, or ADMET challenges later in development.
Built for StarDrop
CytoRisk Score is a decision-support property, designed to complement—not replace—experimental results, medicinal chemistry judgment, and established development criteria.
Discuss your workflowWork with compounds already generated, imported, or assessed within Optibrium StarDrop.
Submit compounds through the Model Server extension to receive a development-risk score from 0 to 100.
Compare the score with existing StarDrop properties, project goals, and available experimental evidence.
Focus design, profiling, and validation work on compounds that need more attention.
The current Model Server implementation returns a random score for workflow and integration testing. It is not a validated predictive model and must not be the sole basis for scientific, clinical, or development decisions.
Bring risk insight into design
Discuss deployment, model availability, and integration options with the Cytocast team.