AI Drug Discovery Platform
From molecule generation to manufacturability assessment
Molecules Generated
10,000
Passed ADMET
2,847
Synthesis Feasible
847
Top Candidates
20
Discovery Pipeline
Molecular Generation
Diffusion-based generation
10K moleculesADMET Prediction
Multi-task modeling
28.5% pass rateSynthesis Planning
Retrosynthesis analysis
847 feasibleCausal Analysis
Feature attribution
PendingTop Compound Rankings
Ranked by Expected Translational Success Score
1
Compound Alpha
MOL-001low Risk6 synthesis steps78% yield
94
ETS Score
Solubility
92
Clearance
88
Toxicity
96
2
Compound Beta
MOL-002low Risk7 synthesis steps72% yield
91
ETS Score
Solubility
85
Clearance
90
Toxicity
94
3
Compound Gamma
MOL-003medium Risk8 synthesis steps68% yield
87
ETS Score
Solubility
78
Clearance
82
Toxicity
91
4
Compound Delta
MOL-004medium Risk9 synthesis steps65% yield
83
ETS Score
Solubility
72
Clearance
79
Toxicity
88
Executive Summary
Of 10,000 generated molecules, we identified 20 compounds most likely to survive synthesis and preclinical filters.
Key Findings
- 28.5% pass rate on initial ADMET screening
- Top candidates show 85%+ synthesis feasibility
- Average 7 steps to target molecules
- Novel scaffolds with strong IP potential
Actions
Pipeline Status
GenerationComplete
ADMETComplete
SynthesisIn Progress
Causal AnalysisPending