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End-to-End Discovery

Run a full discovery pipeline from a single prompt

Go from target to validated candidate - without switching tools. Your AI identifies targets, validates against clinical evidence, optimizes leads, docks candidates, and stratifies patients. You make the decisions that matter.

108K
Target-disease associations
122M+
Pre-computed compounds
12
Funnel stages
<50ms
Retrieval

Every stage, one engine

Identify viable drug targets in minutes

108,000 target-disease associations ranked by composite evidence score - genetics, expression, and druggability. Adversarial validation stress-tests each hypothesis against clinical trials, ChEMBL bioactivity, and contradicting literature before you commit compute credits.

NovoMCP

Target Discovery - NSCLC

4 of 47 hits

108K

Target-disease pairs

56

Pharmacogenes

135K

Resistance variants

Ranked Targets

#1
EGFR7SYD

Genetic · Expression · Druggable

0.94

score

#2
KRAS6GJ8

Genetic · Druggable

0.89

score

#3
MET4MXC

Expression · Druggable

0.81

score

#4
ALK3LCT

Genetic

0.76

score

Scoring:genetics 0.40·expression 0.30·tractability 0.30

Generate optimized candidates automatically

Scaffold hopping generates structurally novel variants. Property-directed optimization targets specific profiles. Every variant auto-enriched with ADMET predictions and compliance screening - without switching tools or exporting intermediates.

Terminal - optimize_molecule

Validate binding before you run experiments

GPU-accelerated AutoDock scores candidates against any protein target. Strain energy validation catches artifact poses. Contact residues, binding distances, and delta affinities - rendered in the conversation, not a separate viewer.

NovoMCP

Docking Results (1PTH)

20 credits

PDB ID

1PTH

Resolution

1.8 Å

High Quality

Method

X-Ray

Binding Site

Known (co-crystal)

Binding Affinity (4 molecules)

#SMILESkcal/molΔContacts
1CC(=O)Oc1ccccc1C(=O)O-9.4-4
2CC(=O)Oc1ccc(O)cc1C(=O)O-8.7+0.75
3CC(=O)Oc1cc(F)ccc1C(=O)O-7.9+1.53
4c1ccc(NC(=O)C2CC2)cc1-6.2+3.22

Interactions - Best Binder (−9.4 kcal/mol)

TYR-385

H-bond (2.8 Å)

ARG-120

H-bond (3.1 Å)

VAL-349

Hydrophobic (3.9 Å)

LEU-352

Hydrophobic (4.1 Å)

Confirm stability with production-scale dynamics

GROMACS molecular dynamics at production scale - 100 ns trajectories with RMSD, RMSF, and hydrogen bond analysis. Jobs run async on GPU; results stream back with full trajectory plots. Your binding pose, validated across time.

NovoMCP

MD Simulation - COX-2 / Aspirin

Converged

Duration

100 ns

Temperature

300 K

Avg RMSD

1.8 Å

Binding ΔG

−8.2

kcal/mol

RMSD Trajectory

Backbone Cα

0 ns50 ns100 ns

RMSF (avg)

0.9 Å

H-bonds

3.2 avg

Radius Gyration

22.4 Å

The funnel

The discovery funnel

01

Target discovery

Identify drug targets from 108,000 omics-derived target-disease associations. Ranked by composite evidence score with suggested PDB structures.

02

Target validation

Adversarial stress-test against clinical trials, ChEMBL bioactivity, and literature evidence. Tiered confidence scoring before committing credits.

03

Literature & landscape

Semantic search across 14,000 papers and 2,400 patents. Map the full research and IP landscape in one query.

04

Known actives

Pull measured IC50/Ki from 2.4M ChEMBL bioactive compounds. Find starting scaffolds with known activity.

05

ADMET screening

31 ML models predict absorption, distribution, metabolism, excretion, and toxicity. Filter by safety profile before optimization.

06

Compliance check

FAVES regulatory screening across DEA, FDA, EPA, CWC, EU REACH, BTWC, Australia, OPCW. Controlled substance detection with scaffold matching.

07

Lead optimization

Scaffold hopping via RDKit substructure replacement. Property-directed optimization via NVIDIA MolMIM. Every variant compliance-screened.

08

Docking

GPU-accelerated AutoDock against protein targets. Binding affinities, pose analysis, strain energy validation. 3-10 seconds per molecule.

09

Clinical outcomes

NovoExpert-3 predicts Phase I clearance probability before the expensive MD stage. An economic gate on which candidates advance.

10

Molecular dynamics

GROMACS GPU simulation - 100 ns trajectories with equilibration analysis. RMSD convergence, RMSF flexibility, hydrogen bond stability.

11

FEP

Optional alchemical free-energy perturbation. Relative binding ΔΔG via GROMACS for publication-grade ranking when it matters.

12

Patient stratification

Pharmacogenomic analysis across 56 pharmacogene profiles. CYP metabolizer phenotypes, resistance variants, population-level clinical viability.

Research preview

Start a discovery pipeline

One conversation. Target to clinic. Sign up and run your first funnel in under five minutes.