AcceleratingDrug Discovery
A high-precision multi-agent AI pipeline for translational research. From protein mutation parsing to synthesizable lead compounds in under 120 seconds.
Input: EGFR T790M
Agent Consensus: 98.4%
01:14.32
Molecules
142
Binding ΔG
-9.4
22
Specialized Agents
Stage-gate workflow
6
Global Data Sources
Live scientific APIs
100+
Molecules per Run
Deep docking search
<120s
Typical Lead Time
End-to-end pipeline
Enterprise-Grade Pipeline
Every agent in our 22-step process is fine-tuned for chemical accuracy and structural integrity.
3D Deep Docking
Vina pose search + Gnina CNN scoring provides high-fidelity binding predictions across whole-protein surfaces.
Live Sourcing
No stale data. We pull the latest mutations and trial results directly from global repositories.
ADMET-X
DeepChem filters excluding PAINS and hERG blockers.
Stability Scoring
OpenMM GROMACS simulations for MM-GBSA validation.
Explainability
Traceable rationale for every molecule selected.
Engineered for
Precision.
Data Ingestion
Omnichannel Intelligence
Automatically ingest real-time scientific data from PubMed, UniProt, RCSB PDB, PubChem, and ClinicalTrials.gov.
Design
RDKit De Novo Generation
Explore vast chemical spaces beyond existing databases using 3D diffusion and bioisostere strategies.
Validation
Multi-Agent Docking
Simultaneous target vs off-target docking ensures high selectivity and reduced toxicity risks.
Synthesis
Synthesis & Routing
Predict synthesizability and generate full chemical routes with reagents, costs, and feasibility scores.