Drug Discovery & Research

Explore thousands of small molecules, inhibitors, proteins, and assay kits. AI-powered research tools to accelerate your discovery workflow.

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Drug Discovery Services

Beyond reagents — accelerate your research with our integrated computational drug discovery platform

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AI: Virtual Cell Modeling

Upload disease and control omics data to receive cell-type-specific disease mechanisms, predicted therapeutic targets, and in silico gene perturbation results — all ranked by quantitative novelty and experimental priority scores.

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Drug Repurposing

Input an existing medicine and discover predicted protein targets and disease repurposing opportunities. Particularly powerful for off-patent compounds with established safety profiles.

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Target-to-Drug Discovery

Start with a gene of interest and receive ranked small-molecule and peptide candidates. Backed by a deep neural network trained on 500,000+ bioactivity records.

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Biased Agonist Design

Specialized service for GPCR programs requiring pathway-selective ligands. Identifies compounds with predicted bias for cAMP versus β-arrestin signaling.

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Peptide Binder Design

AI-powered peptide design using RFDiffusion and ProteinMPNN. Effective for difficult targets where small molecules struggle — Class B GPCRs, protein-protein interfaces, orphan receptors.

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ADMET & Safety Profiling

Rapid in silico prediction of absorption, distribution, metabolism, excretion, and toxicity. Catches hERG, DILI, Ames, and CYP liabilities before wet-lab investment.

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Confidence-Scored Ranking

Every prediction is delivered with five independent scores: Confidence, Novelty, Safety Risk, Repurposing Potential, and Experimental Priority. Triage hits by what matters most for your program.

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Ready to discuss a project?

Our computational team is available to scope your program and recommend the right service.

Best Seller
Assay Kit
New Arrival

OrganelleAge™ Gene Validation Suite

Complete integrated validation package for OrganelleAgeClock predictions. Validates the gene → organelle dysfunction → cell-state aging → disease reversal workflow with 7 research-grade components.

  • Silencer Select siRNA / CRISPR reagents
  • TaqMan qPCR assays
  • MitoSOX ROS assay
  • MitoTracker morphology dyes
  • Image-iT Cell Painting Kit
  • CellROX oxidative stress reagents
  • Confocal consumables

Validation Workflow

  1. 1Select target gene from OrganelleAgeClock predictions
  2. 2Perform siRNA or CRISPR perturbation
  3. 3Confirm knockdown with TaqMan qPCR (≥70% efficiency)
  4. 4Apply disease stress model
  5. 5Confocal imaging: MitoSOX, MitoTracker, Cell Painting
  6. 6Quantify ROS, morphology, cell-state remodeling
  7. 7Calculate rejuvenation effect in biological years
Best Seller
Virtual Cell Modeling

Virtual Cell Modeling and Novelty Analysis

Transform disease and control omics data into cell-specific mechanisms and prioritized therapeutic targets. Includes disease-state modeling, donor-aware statistics, in silico gene perturbation, disease-reversal scoring, and quantitative novelty ranking.

$500 / biological sampleOrder Virtual Cell Modeling

Need a Custom Quote?

Request pricing for bulk quantities, custom synthesis, or compound libraries tailored to your research needs.

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AI Research Assistant

Input your disease, target, or pathway — our AI recommends candidate compounds, assay kits, validation workflows, and relevant literature.

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