
Overview
At the heart of Orpheus API is a groundbreaking foundational graph embedding model, meticulously trained on a vast unified biomedical knowledge graph. This foundational Semantic AI model captures the complex relationships and patterns within biomedical data, enabling the development of downstream AI/ML models tailored for a variety of drug discovery use cases.
From identifying potential therapeutic targets to predicting drug interactions and optimizing lead compounds, Orpheus accelerates the path from research to clinical application with unprecedented precision and efficiency and provides the following functionality:
-
Advanced Biomedical Knowledge Base: Orpheus leverages a comprehensive billion-scale biomedical knowledge graph to conduct in-depth analyses and generate accurate predictions. This extensive dataset facilitates a deeper understanding of the intricate relationships between biomedical entities, driving the discovery of targeted and effective therapeutics.
-
Foundational Graph Embedding Model: The core of Orpheus's predictive power lies in its foundational graph embedding model that is trained on the knowledge graph. This model enables the creation of custom AI/ML models for various drug discovery processes, enhancing the accuracy and relevance of predictions.
-
Semantic Search with AI Precision: Empowered by advanced Semantic AI models, Orpheus API delivers a refined search experience, allowing users to filter results by relevance, publication date, and citation count. This feature ensures that users can quickly find the most pertinent information.
-
Literature-Supported Answers: Orpheus API provides detailed, literature-backed answers to complex medical queries. Access to hundreds of biomedical datasets ensures comprehensive and reliable information.
-
Cited References for Trustworthy Insights: Every piece of information provided by Orpheus API is supported by cited references, adding an extra layer of credibility and offering pathways for further investigation.
Here are the kinds of datasets that we incorporate into our knowledge graph:
| Dataset | Dataset | Dataset |
|---|---|---|
| NCBI Gene | NDF-RT | Human Disease Ontology |
| Ensembl | LIPID MAPS | Monarch Disease Ontology |
| UniProt | MassBank | VAERS Data |
| InterPro | PDB Ligand | FAERS Data |
| Protein Data Bank | EPA CompTox Dashboard | NIH Grants |
| CIViC DB | Reactome | ClinicalTrials.gov |
| PubChem | WikiPathways | MEDLINE |
| RxNorm | IUPHAR Guide | CCTO |
Here are the out of the box AI models we also offer:
| Mode | Category | Description |
|---|---|---|
| LogS | Basic physicochemical property | The log of aqueous solubility value |
| LogD7.4 | Basic physicochemical property | The log of the n-octanol/water distribution coefficients at pH=7.4 |
| Caco2 | Absorption | Caco-2 cell permeability |
| PGPi | Absorption | The inhibitor of P-glycoprotein |
| PGPs | Absorption | The substrate of P-glycoprotein |
| HIA | Absorption | The human intestinal absorption |
| F (20%) | Absorption | The human oral bioavailability. (20%) |
| F (30%) | Absorption | The human oral bioavailability. (30%) |
| PPB | Distribution | The plasma protein binding |
| VD | Distribution | The volume of distribution |
| BBB | Distribution | The blood brain barrier |
| CYPIA2i | Metabolism | CYP 1A2-Inhibitor |
| CYPIA2s | Metabolism | CYP 1A2-substrate |
| CYP3A4i | Metabolism | CYP 3A4-Inhibitor |
| CYP3A4s | Metabolism | CYP 3A4-Substrate |
| CYP2C9i | Metabolism | CYP 2C9-Inhibitor |
| CYP2C9s | Metabolism | CYP 2C9-Substrate |
| CYP2CI9i | Metabolism | CYP 2C19-Inhibitor |
| CYP2C19s | Metabolism | CYP 2C19-Substrate |
| CYP2D6i | Metabolism | CYP 2D6-Inhibitor |
| CYP2D6s | Metabolism | CYP 2D6-Substrate |
| CL | Excretion | The clearance of a drug |
| T-HALF | Excretion | The half-life of a drug |
| hERG | Toxicity | The human ether-a-go-go related gene |
| H-HT | Toxicity | human hepatotoxicity |
| Ames | Toxicity | Ames test for mutagenicity |
| DILI | Toxicity | Drug-induced liver injury |
| FDAMDD | Toxicity | maximum recommended daily dose |
| SkinS | Toxicity | Skin Sensitivity |
| ROAT | Toxicity | Rat oral acute toxicity |
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/12 months |
|---|---|---|
Product Access | Dimension that grants access to the product for subscribers. | $0.00 |
The following dimensions are not included in the contract terms, which will be charged based on your usage.
Dimension | Description | Cost/unit |
|---|---|---|
Per successful API request | Charge for each successfull API request | $0.15 |
Vendor refund policy
Refunds are not offered for this product
How can we make this page better?
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
orpheus_api | Last 1 revisions | All future revisions | Not included | Not included |