Cytocast Screener
Identify early side-effect signals across large compound sets and eliminate weaker candidates before committing significant resources.
Cytocast predicts potential clinical side effects from compound information and traces them to implicated off-targets and biological pathways, helping drug teams evaluate safety liabilities and investigate the mechanisms behind them.
Cytocast supports compound selection from early discovery to preclinical nomination, adapting the depth of analysis to each development stage.
Identify early side-effect signals across large compound sets and eliminate weaker candidates before committing significant resources.
Build a decision-grade safety profile combining clinically relevant side-effect predictions with traceable biological mechanisms to support candidate advancement.
Evaluate potential safety liabilities before you invest.
Cytocast Diligencer compares a drug’s predicted clinical side-effect profile with competing pipeline drugs and traces potential liabilities to implicated off-targets and pathways, supporting your investment or licensing evaluation.
Boxes show the middle 50% of endpoint scores; white lines show medians; whiskers extend to observations within 1.5× IQR; dots show outliers. ROC AUC is the area under the receiver operating characteristic curve. MCC is the Matthews correlation coefficient.
The counts describe endpoints, not patients or prediction accuracy. Similar category-level medians do not establish statistical equivalence or replacement of animal testing.