Discovery Workflows

End-to-end AI-driven drug discovery pipelines

🎯

Target Discovery from RNA-seq

Trigger:

Upload RNA-seq cohort data

Result:

Ranked druggable targets with patient stratification

Duration:

2-4 hours

👥

Digital Patient Cohort Simulation

Coming Soon

Trigger:

Define patient population parameters

Result:

Simulated drug response across virtual patients

Duration:

1-2 hours

🔗

Ligand Screening for GPCRs

Coming Soon

Trigger:

Specify GPCR target and desired properties

Result:

Ranked compounds with binding predictions

Duration:

4-8 hours

🔬

Multimodal Biomarker Discovery

Coming Soon

Trigger:

Upload multi-omics patient data

Result:

Validated biomarker signatures with clinical utility scores

Duration:

3-6 hours

5-Step Workflow Pattern

Every Omic workflow follows a consistent, validated structure

Trigger

Data event initiates the workflow (upload, API call, schedule)

Data Ingestion

Multi-omics data processed and validated

Model Execution

AI scientists run analyses and generate hypotheses

Output Generation

Results compiled into actionable deliverables

Validation

Automated quality checks and confidence scoring

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