ProteinIQ for drug discovery
From molecules to medicines faster
Design and validate drug candidates with integrated ADMET-AI predictions, docking simulations, and lead optimization workflows.
Join 1,200+ researchers using ProteinIQ
01 — Challenges
Challenges we solve
Common obstacles researchers face and how ProteinIQ addresses them.
Predict ADMET properties for drug candidates
Assess toxicity and safety profiles
Filter compounds for drug-like properties
Optimize lead compounds for bioavailability
02 — Workflow
How it works
A streamlined workflow from input to results.
1
Input Compounds
Upload SMILES, SDF, or draw molecules directly
2
ADMET Prediction
Screen for absorption, metabolism, and toxicity
3
Drug-likeness Filter
Apply Lipinski rules and molecular property filters
4
Prioritize Leads
Rank compounds and export top candidates
03 — Comparison
Traditional methods vs. ProteinIQ
See how we compare to traditional computational approaches.
| Aspect | Traditional | ProteinIQ |
|---|---|---|
| ADMET screening cost | $50-500 per compound (lab assays) | Pennies per compound (AI prediction) |
| Turnaround time | Days to weeks for lab results | Seconds for AI predictions |
| Throughput | Dozens of compounds per batch | Thousands of compounds instantly |
| Integration | Separate tools, manual data transfer | End-to-end integrated workflow |
04 — Explore more
Related solutions
Discover complementary workflows to enhance your research.