Complete Drug Discovery Platform

Chemical Intelligence Engine
From Search to Synthesis

OCSR's Chemical Intelligence Engine powers the entire drug discovery workflow. Search 1.3 trillion molecules, predict 1100+ properties, generate novel compounds, plan retrosynthesis, dock with targets, and seamlessly integrate with ELN.bio—all in one unified platform.

1.3T+
Molecules Indexed
1100+
Molecular Properties
6 Modules
Integrated Workflow

The Complete Workflow

Six integrated modules that power your entire drug discovery pipeline

01

Search & Discover

Search 1.3 trillion molecules with Tanimoto similarity and Morgan fingerprints. Build and filter your compound library.

02

Analyze Properties

Compute 1100+ molecular properties including ADMET predictions, structural descriptors, and physicochemical parameters.

03

Check Novelty

Search ChEMBL, PubChem, and patent databases to assess novelty and prior art for your compounds.

04

Plan Synthesis

Rasayan-powered AI retrosynthesis generates synthetic routes with reagent recommendations and reaction conditions.

05

Dock & Validate

ProteinLab molecular docking validates binding affinity and predicts protein-ligand interactions with your targets.

06

Generate & Document

Janak AI generates novel molecules. Export directly to ELN.bio for documentation—no redrawing required.

1100+ Molecular Properties

Comprehensive molecular characterization for drug discovery decisions

ADMET Predictions

200+ Properties

  • Absorption (Caco-2, HIA, MDCK)
  • Distribution (BBB, PPB, VDss)
  • Metabolism (CYP inhibition, substrate)
  • Excretion (Clearance, Half-life)
  • Toxicity (hERG, AMES, Hepatotoxicity)

Physicochemical Properties

300+ Properties

  • Molecular weight & formula
  • LogP, LogS, LogD predictions
  • pKa calculations
  • Polar surface area (PSA/TPSA)
  • Rotatable bonds & flexibility

Structural Descriptors

400+ Descriptors

  • 2D/3D molecular descriptors
  • Fingerprints (Morgan, MACCS, etc.)
  • Topological indices
  • Charge distributions
  • Molecular complexity metrics

Drug-Likeness Rules

50+ Rule Sets

  • Lipinski's Rule of Five
  • Veber's rules
  • PAINS/BRENK alerts
  • Lead-likeness criteria
  • Synthetic accessibility score

Quantum Chemical Properties

100+ Properties

  • HOMO/LUMO energies
  • Dipole moments
  • Electrostatic potentials
  • Orbital energies
  • Reactivity indices

Biological Activity

50+ Predictions

  • Target class predictions
  • Bioactivity spectrum
  • Pathway enrichment
  • Drug-target networks
  • Polypharmacology analysis

Real-World Drug Discovery Workflows

See how researchers use CIE to accelerate every stage of drug discovery

From Patent to Synthesis in 2 Hours

IP Intelligence

A pharmaceutical team discovers a promising compound in a competitor's patent. Using CIE, they:

  1. Search the structure to find it in the 1.3T database
  2. Run similarity search to generate 50 novel analogs (Tanimoto 0.75-0.85)
  3. Filter by ADMET to select 10 drug-like candidates with good BBB penetration
  4. Check patent landscape using AI-powered search across 150M+ patents
  5. Generate synthesis routes via Rasayan for the top 3 unpatented analogs
  6. Export to ELN.bio with complete documentation for lab synthesis
Result: 10 novel, unpatented analogs with synthetic routes ready for the lab—all in under 2 hours.

Billion-Molecule Virtual Screening

Target-Based Discovery

A biotech startup needs to find novel inhibitors for a kinase target. Their workflow:

  1. Upload protein structure (PDB file) to ProteinLab.ai
  2. Filter CIE database to 1M compounds meeting Lipinski's Rule of Five
  3. Apply ADMET filters: CYP2D6 non-inhibitor, good oral absorption (Caco-2 > 20)
  4. Run ProteinLab docking on 100K compounds (takes 6 hours, screens billions in silico)
  5. Select top 50 binders with predicted affinity < -8 kcal/mol
  6. Generate 200 optimized analogs using Janak (99.8% validity, 92% synthesizability)
  7. Export hit list to ELN.bio with docking poses and property predictions
Result: 50 validated hits + 200 AI-designed analogs ready for experimental validation—from 1 billion chemical space in <48 hours.

Hit-to-Lead Optimization

Lead Optimization

A research team has a hit compound with poor ADMET properties. They optimize it using CIE:

  1. Analyze the hit structure: High LogP (5.2), poor solubility, hERG liability
  2. Use Janak to generate 1000 analogs with constraints: LogP < 3.5, no hERG flags
  3. Filter by synthetic accessibility score (SA < 4) to get 250 easy-to-make compounds
  4. Run similarity search to find 100 commercially available starting materials
  5. Dock all 250 analogs with ProteinLab to maintain target affinity
  6. Select top 10 with improved ADMET + maintained binding (< -7 kcal/mol)
  7. Generate synthesis routes via Rasayan for all 10 compounds
Result: 10 optimized leads with improved drug-likeness, maintained potency, and clear synthetic routes—ready for medicinal chemistry.

Fragment-Based Drug Design

FBDD

Starting from fragment screening hits, a team builds optimized leads:

  1. Upload 5 fragment hits from X-ray crystallography (MW < 300)
  2. Search for fragment-linking opportunities in 1.3T database
  3. Use Janak to generate merged structures combining fragments
  4. Filter by Lipinski and Veber rules to ensure drug-likeness
  5. Dock 500 merged compounds using ProteinLab with both fragments' binding modes
  6. Analyze binding poses to confirm both pharmacophores engage
  7. Export top 20 designs with synthesis routes to ELN.bio
Result: 20 fragment-optimized leads with predicted nM affinity and clear synthesis paths—from fragments to leads in days, not months.

Technical Specifications

Enterprise-grade infrastructure powering the world's largest chemical intelligence platform

Database Architecture

  • Search Engine: OpenSearch-based distributed architecture
  • Index Size: 1.3 trillion molecular structures
  • Property Database: 1100+ precomputed properties per compound
  • Update Frequency: Weekly incremental updates from PubChem, ChEMBL
  • Fingerprint Types: Morgan, MACCS, RDKit topological, AtomPair
  • Storage Format: Compressed SMILES, InChI, InChIKey with property vectors

Performance Metrics

  • Exact Match Search: < 100ms response time
  • Similarity Search: < 3 seconds for 1.3T database scan
  • Property Calculation: 1100+ properties computed in < 5 seconds (RDKit)
  • Concurrent Users: Supports 1000+ simultaneous queries
  • API Rate Limit: 100 requests/minute (free tier), unlimited (enterprise)
  • Uptime SLA: 99.9% availability guarantee

Computed Properties (RDKit)

  • Lipinski Parameters: MW, LogP, HBD, HBA, Rotatable Bonds
  • Descriptors: TPSA, Molar Refractivity, Complexity, Fraction Csp3
  • Functional Groups: 60+ groups (alcohols, amides, carboxylic acids, ketones, etc.)
  • Ring Analysis: Aromatic rings, aliphatic rings, ring count
  • Stereochemistry: Chiral centers, stereoisomers, E/Z configuration
  • Synthetic Accessibility: SA Score (1-10, trained on 100M+ molecules)
  • Drug-Likeness: QED score, PAINS/BRENK alerts
  • Reactive Sites: Electrophilic/nucleophilic centers identification

API & Integration

  • REST API: Full programmatic access to all features
  • Endpoints: /search, /compound, /properties, /similarity
  • Authentication: API key + OAuth 2.0 support
  • Response Formats: JSON, CSV, SDF, MOL
  • Batch Processing: Upload/analyze up to 10,000 compounds per request
  • Webhooks: Real-time notifications for long-running jobs
  • SDK Support: Python, JavaScript, R libraries available

Data Sources

  • PubChem: 110M+ compounds with bioactivity data
  • ChEMBL: 34M+ compounds with target annotations
  • Patent Databases: 150M+ chemical structures from global patents
  • Commercial Vendors: 100+ vendor catalogs (17M+ building blocks)
  • Literature: 40M+ reactions from published literature
  • Proprietary: Enamine REAL (1.1T+ make-on-demand molecules)

Deployment Options

  • Cloud SaaS: Multi-tenant, instant access (5-minute setup)
  • Private Cloud: Dedicated VPC with custom configurations
  • On-Premise: Complete air-gapped installation for sensitive data
  • Hybrid: Local processing with cloud backup/sync
  • Compliance: ISO 27001:2022, HIPAA, 21 CFR Part 11 ready
  • Security: End-to-end encryption, SOC 2 Type II certified

Integrated Discovery Pipeline

Seamless data flow from discovery to documentation

Data Sources

ChEMBL & PubChem Integration

Real-time access to ChEMBL bioactivity data, PubChem compound information, and literature references. Automatically enrich your compounds with experimental data, assay results, and known activities from millions of compounds.

34M+ ChEMBL Compounds
110M+ PubChem Records
Novelty Assessment

AI-Powered Patent Search

Comprehensive patent landscape analysis using AI to identify prior art, assess patentability, and find freedom-to-operate opportunities. Search across global patent databases with structure-based and text-based queries for complete IP intelligence.

150M+ Patent Records
AI-Driven Similarity Analysis
Synthetic Planning

Rasayan AI Retrosynthesis

Transform your target molecule into actionable synthetic routes. Rasayan's AI analyzes millions of reactions to suggest practical, cost-effective syntheses with reagent recommendations, reaction conditions, and predicted yields—turning ideas into experiments.

40M+ Reaction Database
Multi-Step Route Planning
Target Validation

ProteinLab Molecular Docking

Validate binding affinity and predict protein-ligand interactions with your target proteins. ProteinLab's advanced docking algorithms compute binding modes, interaction energies, and key residue contacts—helping you prioritize the best candidates for synthesis.

Sub-Second Docking Speed
Accurate Pose Prediction
Generative Design

Janak Generative Chemistry

Generate novel molecules with desired properties using Janak's AI models. Design molecules similar to your leads but with improved ADMET profiles, synthesizability, or target binding—expanding your chemical space intelligently with AI-driven molecular generation.

Unlimited Novel Structures
Property-Driven Generation
Documentation

ELN.bio Direct Integration

Seamlessly transfer your compounds, synthetic routes, docking results, and generated molecules directly into ELN.bio. No manual redrawing, no data re-entry—just click and document. Your entire workflow syncs automatically with your electronic lab notebook.

One-Click Export to ELN
Zero Data Loss

Unified Ecosystem

All OCSR products work together seamlessly—sharing data across your entire workflow

Chemical Intelligence Engine

Central Data Hub

Search Engine

1.3T Molecules

Database

Rasayan

Retrosynthesis AI

Synthesis

Janak

Generative AI

Generation

ProteinLab

Molecular Docking

Validation

ELN.bio

Lab Notebook

Documentation

Registry

Private Database

Storage

Seamless Data Flow

Compounds flow automatically between modules without manual re-entry or format conversion

Accelerated Discovery

Complete workflows in hours instead of weeks with integrated tools and automatic processing

Single Source of Truth

All modules access the same compound registry—ensuring consistency and traceability

Transform Your Drug Discovery Workflow

Join pharmaceutical companies and research institutions using OCSR's Chemical Intelligence Engine to accelerate discovery from hit identification to lead optimization—all in one platform.

1.3 Trillion Molecules
1100+ Properties
ISO 27001:2022 Certified