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Deep MedChem

Deep MedChem provides the CHEESE platform, an AI‑powered suite that enables drug discovery teams to perform trillion‑scale molecular searches, ultra‑fast ADMET predictions, and explore multiple public databases within seconds. Its tools—CHEESE Search, Modeller, and Explorer—offer 1‑second similarity screening across 40 trillion compounds, custom QSAR model training in minutes, and integration via cloud, API, or on‑premise deployment, helping pharma, biotech, and academic researchers accelerate early‑stage research while protecting IP.

Prague, CzechiaFounded 202373K+ followers
Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Drug discovery teams often spend months or years performing virtual screening and ADMET predictions using computationally intensive methods that require extensive hardware resources and expert knowledge, slowing early-stage research and increasing costs.

Solution

Deep MedChem offers the CHEESE platform, an AI‑powered suite that enables rapid molecular search, property prediction, and database exploration at trillion‑scale. CHEESE Search can screen over 40 trillion molecules in about one second, evaluating 3D shape, electrostatic similarity, and predicted activity. CHEESE Modeller provides ultra‑fast ADMET predictions and custom QSAR model training in minutes through an intuitive graphical interface. CHEESE Explorer gives access to more than 11 public databases, including FDA‑approved drugs, patents, and natural products. The platform is available via cloud, public API, or on‑premise deployment, allowing organizations to protect intellectual property while integrating with existing workflows.

Target Audience

Primary customers are pharmaceutical companies, biotech firms, and academic research groups that conduct early‑stage drug discovery and need high‑throughput virtual screening and rapid ADMET assessment.

Features

  • 1‑second similarity search across 40 trillion molecules with 3D shape, electrostatic, and activity screening
  • Ultra‑fast ADMET prediction and custom QSAR model training completed in under 2 minutes
  • Simple, low‑learning‑curve GUI for non‑expert users
  • Integrated explorer accessing 11+ public databases (FDA‑approved drugs, patents, natural products, fragrances)
  • Programmatic API, CLI, Python, and KNIME integrations for seamless workflow automation
  • On‑premise deployment option for maximum IP protection and firewall‑bound operation
  • Compatibility with major commercial compound libraries (Aurigene, Enamine, ZINC, eMolecules, Chemspace, Chemriya, Mcule, Molport)
This profile is AI-generated and may contain inaccuracies.