Graphen Atom

AI tools for the future precision medicine and precision health.

ATOM: AI Tools for Medical

Biology Central Dogma is established through DNA/RNA, which guides assembling Amino Acids to create Proteins -- the building blocks of any live. Protein is a molecular, which is a graph set of atoms.

Graphen Medical has been focusing on solving biological challenges through fundamental research utilizing graph computing and quantum physics to better predict biological functions down to the atom level.

Graphen Atom platform includes 12 tools. Most Atom tools' accuracy outperformed the best known tools in the literature, except the Protein Structure Prediction tool, which is slightly worse than the state-of-the-art but with less computational requirement.

Graphen Atom makes fundamental scientific progress down to the atom level. These tools model from proteins, to protein-protein interaction and protein-environment interaction, and to biological network and system biology viewpoints. Through scaling from points, to links, and to networks, Graphen Atom is providing advantageous performance and provide explainabilty. Like a map that zooms to see in different scale, Graphen Atom helps to predict and explain how bio mechanisms function.

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Atom AI Medical Tools

Atom Network

  • Quantum Physics
  • Dynamic Graphs

Protein Structure

  • Protein Sequence
  • Equivalent Graph

Protein Function

  • Biological Process
  • Molecular Function

Molecular Interaction

  • Reaction Simulation
  • Energy Score

Affinity Prediction

  • Energy Change
  • Affinity Score

Biology Networks

  • Protein Networks
  • Pathway Networks

ADME
Prediction

  • Drug Pharmacokinetics
  • ADME Score

Antibody Developability

  • Antibody PDB
  • TAP Score

Drug Generation

  • Multi-Goals
  • Specific Target

Mutation Intelligence

  • Virus & Human Genome
  • Function Prediction

Progress Prediction

  • Disease Progress
  • Drug Resistance

Multi-Omics Analytics

  • Cross-Omics Networks
  • Single-Cell Analytics


Applying Graphen Atom to Precision Health Applications

Whole Genome Analysis

Graphen Personal Whole Genome Analytics System analyzes one's entire 6.4B genome. It provides the risk likehood of 350+ diseases in 10 major categories with one's congenital traits and detailed explanations.

Gene Dynamics Detection

Graphen Proteome Analytics System provides consumers with their current status of wellbeing on 100+ diseases in the protein pathways. It gives a graphical representation on how one's protein variations have been impacting their state of health.

Predictive Health Analysis

Combining the genomic, proteomic, and environmental analysis, in conjunction with personal Electronic Medical Record, Graphen Atom helps predict the health of the user based on the pathway analysis.

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Applying Graphen Atom to Drug Design Services

Small Molecular Drug Design:
Drug Reproposing

Using the newest drug database to find out suitable drug candidates and predict affinity (Ki/Kd/Ka) for druggable target.

Small Molecular Drug Design:
De novo New Drug

Using the newest Drug Database with multi-objective to generate suitable drug candidates from Affinity Score (Ki/Kd/Ka), QED score and Drug solubility Score.

Antibody Drug Optimization:
Ab/Ag-Interactivate Prediction

Using Graphen affinity and contacting prediction to find out effective antibody structure, end to end predict structure and affinity.

Antibody Drug Optimization:
Humanization and Developability Prediction

Using Graphen amino acid substitution and restructure force filed model to check the developability of antibody structure and humanization

Vaccine Optimization:
Vaccine Design and Optimization

Optimize vaccine by variant information, structure energy and contact information, analyzing vaccine protein immunogenicity and the ability of immune escape from antibody or immune cell.

Immunol Therapeutic Vaccine Design:
Oncoprotein Epitope Design and Optimization

Selection highest immunogenicity epitopes form oncoprotein by TCR interaction, analyzing mutated protein epitope structures and the ability of multi epitope from TCR interaction.

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COVID-19 Live Monitoring

Graphen's contribution to the worldwide community on the fight with the COVID-19 coronavirus by providing our expertise in genome analysis has been widely recognized. Graphen analyzed the variants of each reported whole genome sequencing from more than 100 countries or regions to date and identified the mutations as they spread.

By understanding the mutation of each virus and locating where those variants are in its near 30,000 genetic locations, Graphen can identify virus' evolution chain and clusters. Such patterns can help better identify targets for drug development, public health prediction, or even predict the harm of specific variants that may cause symptoms beyond those observed from the original strain.

Graphen’s early warning at the end of September 2020 on the Intl. Symposium on COVID was about 2.5 months ahead of UK government’s warning. Our binding energy prediction model is proven better than the current leading state-of-the-art in predicting ΔΔG.

Learn more about our work here.

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