Graphen Drugomics

AI powered precision drug optimization and personalized medicine design service.




AI-Assisted Drug Design Services

Nucleic Acid and Small Molecular Drug Design

Vaccine Design and Optimization

Patient-Centric Drug Design



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Nucleic Acid and Small Molecular Drug Design

Pre-Development Study

  • Druggable Candidate Finding by Poly-Omics Data with Clinical Label
  • Druggable Candidate Constructure

    • Small Molecular Designer

  • Database of Small Molecular Drug for Reproposing Searching by Affinity Score (Kd/Ki)
  • Database of Small Molecular Drug for New Drug Generating by Affinity Score + QED (drug likeness) + PLogP (solubility)
  • Optimization of Small Molecular Candidates by Affinity Score + QED (drug likeness) + PLogP (solubility)
  • Safety Issue of Small Molecular Candidates by ADME Prediction
  • Small Molecular Candidates Side Effect Prediction

    • Biosimilar Drug Designer

  • Epitope Finding for Druggable Targets
  • CDRs Substitution for Antibody Humanization and Optimization
  • Antibody Affinity Prediction
  • Develabilities of Antibody Structure

    • Graphen's four-stage drug development and optimization model untilizes AI to create precise and effective drugs and treatments targeting particular disease.

    Achieve true precision medicine with our advanced AI!

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    Vaccine Design and Optimization

    Pre-Development Study

  • Vaccine Energy Prediction by Antibody - virus protein Co-structure.
  • Virus Variants Immune Escape Prediction.

    • Vaccine Design and Optimization

  • Optimization of Vaccine Immunol Epitopes Areas
  • Design Vaccine Candidate Structure
  • Refine the Affinity of Vaccine Candidate with Antibody Structures

    • Graphen's vaccine design and optimization model analyzes vaccine protein immunogenicity and the ability of immune escape from antibody or immune cell. It's desgined to be highly effective and takes into the consideration of virus mutation.

    Effective vaccines empowered by AI.

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    Patient-Centric Drug Development

    Medical Domain Knowledge

  • Graph Database include Complex Medical Researches and Data on Rare Diseases
  • Deep Understanding of These Diseases and Effective Treatments

    • Patient-centred Drug Development

  • Unravel Gene Mutation and Pathways Linked to Rare Diseases
  • Combines the Genomic, {roteomic, and Environmental Analysis in Conjunction with Personal Electronic Medical Record
  • Design and Develop Effective Drugs for Targeted Rare Disease

    • Graphen's personalized rare disease drug development is built upon deep domain knowledge and understanding of individual gene mutatnion. The system designs targeted, personalized, effective drugs for the treatment of rare diseases.

    The future of personalized, presicion medicine to treat rare diseases with confidence.

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