The Euretos platform is a comprehensive companion for data-driven translational research, supporting researchers without requiring bioinformatics or data science expertise. It provides a broad suite of applications, predictive algorithms, and workflows that facilitate understanding disease mechanisms, discovering new drug targets, and assessing pharmacological pathways.

Our platform focuses on the molecular, cellular, and biochemical aspects of drug development, enabling researchers to identify drug targets, assess their physiological roles, and understand downstream effects. By integrating data from biochemical assays, as well as drug, clinical trial, and adverse event data, Euretos helps identify relevant compounds and assess safety throughout the drug development process.

Euretos integrates literature, patents, experimental, clinical, and real-world patient data into a vast biological knowledge graph, including:

- 4.5 billion+ catalogued statements
- 100 million+ publications & references
- 2.5 million+ drug-related patents
- 100+ multi-omics databases

The platform offers ready-to-use workflows for efficient desk research, experiment design, and observation analysis, providing:

- Novel insights from knowledge graph connections
- Reliable interpretation of experimental results
- Data-driven research without bioinformatics expertise
- Informed experimental and clinical trial design

Euretos also provides AI-predicted gene-disease associations using machine learning models that leverage biological networks, such as co-expression, protein interactions, and pathways, to quantify associations even without direct evidence.

Euretos

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