01
Interaction prediction
Predict (off)target interactions
Deep-learning models screen candidate structures across a broad protein space to predict potential on-target and off-target interactions.
Drug safety engineered, not discovered.
Cytocast maps the mechanistic chain from compound to clinical side effect, pathway by pathway, so drug teams see not just what will fail but which off-target causes it.
Request a demoHow does it work
- 01CompoundStructure-based input
- 02Off-targetBinding predictions across 7,700+ proteins
- 03Perturbed pathwayPropagation through protein complexes and pathways
- 04Tissue effectSimulated across 15 human tissues
- 05Predicted side effect1,200+ side-effect endpoints
Drug teams see fragments of safety risk & Cytocast connects them.
Disconnected safety evidence can leave critical liabilities unresolved during development.
Substantial time and money may therefore be invested before clinically relevant side effects emerge, sometimes only after compounds reach patients.
We add the missing piece: predicted clinical side effects to reduce cost, time, unnecessary animal studies, and patient harm.
From structure to adverse event. Every step grounded in biology.
02
Mechanistic simulation
Model biological effects across 15 tissues
Predicted interactions are propagated through tissue-specific protein complexes, signaling networks, and biological pathways to simulate downstream effects.
03
Side-effect mapping
Connect perturbed mechanisms to clinical outcomes
Changes in protein complexes and pathways are mapped to 1,200+ clinically defined side-effect endpoints.
One platform for every critical safety decision
Cytocast supports compound selection from early discovery to preclinical nomination, adapting the depth of analysis to each development stage.
Hit to lead
Screen
Identify early side-effect signals across large compound sets and eliminate weaker candidates before committing significant resources.
Lead optimization
Compare
Rank candidates by predicted safety profile and understand the protein interactions, pathways, and tissue effects behind their differences.
Preclinical and IND-enabling
Nominate
Build a decision-grade safety profile combining clinically relevant side-effect predictions with traceable biological mechanisms to support candidate advancement.
The full body. Not a handful of endpoints.
See what Cytocast reveals about your compounds.
Request a demo1,200+
Other AI and simulation tools focus on a handful of toxicity endpoints. Cytocast predicts over 1,200 clinically relevant side effects across the full body.
300+
Our performance on the 300+ best predictable side effects outperforms translation accuracy from animal models.
Research-first
Built by professors in systems biology and computational biology, our platform is grounded in world-class science and led by a research-first team.