MolecuLens AI
From SMILES to Full Drug Profile
MolecuLens AI converts molecular structures into comprehensive drug intelligence reports, enabling faster and more confident decision-making.
17+
Active prediction models
1
Unified drug profile
100%
Offline-capable deployment
<1 min
Typical SMILES-to-report time
How It Works
A streamlined workflow from molecular input to decision-ready intelligence.
Enter SMILES
Paste a structure or pick an example molecule to start analysis.
Run Predictions
Generate a full drug profile across ADMET, toxicity, and synthesis endpoints.
Review Matrix
Scan executive summaries, ADMET cards, and risk flags in one workspace.
Decide with Confidence
Use QKAR evidence and GO/NO-GO signals to prioritize the right compounds.
What You Get
Six integrated modules that cover the full preclinical intelligence stack.
Physicochemical Analysis
Core molecular property profiling including solubility, lipophilicity, and TPSA
ADMET Prediction
Comprehensive absorption, distribution, metabolism, and excretion profiling
Toxicity Assessment
Early identification of cardiotoxicity, hepatotoxicity, and mutagenicity risks
Synthesis Intelligence
Synthetic route planning, cost estimation, and vendor insights
Mechanistic Explainability
Evidence-based explanations through the QKAR intelligence engine
Decision Intelligence
Actionable GO/NO-GO recommendations with confidence scoring
Unified Workspace
Navigate dedicated views for every stage of compound review—without switching tools.
Executive Overview
Compact physicochemical, metabolism, distribution, and safety readouts for fast triage.
ADMET Matrix
One-screen scan of molecular weight, TPSA, LogP, solubility, pKa, and liability endpoints.
Toxicity Panel
hERG, Ames, DILI, and acute toxicity signals with clear risk labeling.
Metabolism & Distribution
CYP interaction, clearance, BBB, and permeability insights in context.
Synthesis View
Synthetic accessibility scores and feasibility cues before lab investment.
QKAR Evidence
Feature drivers, structural fragments, and mechanistic narrative for explainability.
Drug-Likeness
Lipinski rule checks and descriptor interpretation for developability review.
Detailed Capabilities
Hover or click a capability to view details
Physicochemical Properties
Understand core molecular characteristics
- Solubility (LogS)
- Lipophilicity (LogP / LogD)
- Molecular Weight
- Topological Polar Surface Area (TPSA)
- pKa (Acid/Base Dissociation)
Physicochemical Properties Module
Built for Real Discovery
Whether you are prioritizing a series or reviewing a single candidate, MolecuLens AI fits your workflow.
Medicinal Chemistry
Compare analogs, flag permeability or toxicity risks, and shortlist series before synthesis.
Discovery Teams
Screen virtual libraries early and focus wet-lab work on the most promising candidates.
Regulated R&D
Keep proprietary structures on-premise with no cloud upload or external data transfer.
Rapid Triage
Move from structure to actionable GO/NO-GO guidance in a single review session.
Sample Screenshots
Preview the MolecuLens AI workspace. Click any thumbnail to enlarge.
Secure Deployment
MolecuLens AI is built for environments where compound data must stay private. Deploy on localhost, on-premise servers, or private cloud—models and predictions run entirely within your infrastructure.
- No external API calls required for core predictions
- Ideal for confidential preclinical programs
- Configurable endpoints for pilot and production use
- Research-use screening with audit-friendly outputs
On-Premise
Full control inside your data center or lab network.
Data Privacy
Structures and results never leave your environment.
Local Inference
Models run locally without cloud dependency.
Fast Setup
Pilot-ready deployment in days, not months.