Accelerate your Scientific Discovery with our Biomedical Knowledge Graph

Explore biomedical relationships and uncover hidden insights to drive innovation with confidence using our AI powered Knowledge graph: Orpheus.

Wisecube Orpheus illustrations
biomedical knowledge graph schema

Power your R&D with AI

Biomedical relationships knowledge is critical for silo-breaking insights and data-driven drug discovery. 

However, biomedical knowledge is locked in thousands of publications and dozens of databases. Collecting, structuring and integrating this knowledge is extremely challenging, as well as time- and resource-consuming.

We solve these challenges with Orpheus: Our Biomedical Knowledge Graph, the largest knowledge graph of its kind, containing Billions of facts about millions of biomedical entities, integrated from thousands of sources using our cutting-edge AI.

Orpheus Applications and Features

Quickly and efficiently find novel, discoveries using highly flexible data querying and exploration

  • Combine our data with your analysis and a range of cutting-edge Graph algorithms to power AI-driven drug discovery.
  • Use the graph data within your own analysis and data-exploration applications.
  • Integrate the data with other data types and sources, as well as third-party technologies.

Target identification and drug repositioning

Reveal insights into causal biomedical relationships enabling novel and otherwise concealed discoveries.

Biomarker identification based on Graph-AI

Using the power of Link prediction and Graph AI, uncover novel biomarkers.

Target, disease and drug intelligence

Reveal hidden relationships and insights enriched with full context, between genes, diseases, drugs, targets, functions, toxicological processes and more.

Flexible Querying

Visually query the graph without having to learn complex query languages like SQL or SPARQL or Cypher.

Advanced AI

Natural Language Processing (NLP) infers relationships and facts from research articles.

Quick and efficient Analysis

 Focus on answering questions, not searching. Our knowledge  graph enables you to automatically identify and prioritize hypotheses within minutes .

"Wisecube is an application that I have bookmarked next to Slack, Benchling, and Miro!"

Wisecube technologies (specifically Orpheus offering) allows me to get the most out of every search by being able to visualize the correlation between related papers/concepts and through advanced targeted searches to mine specific information I am seeking.

thomas perkins jr

Thomas Perkins, Jr. Scientist - TapBioscience

Orpheus by the Numbers

The largest biomedical knowledge graph

See for yourself how Orpheus Biomedical Knowledge Graph will empower you to leverage biomedical knowledge graph insights, fuel your AI-driven drug discovery and accelerate your research. 

Tens of Billions of Facts

Constructed with AI powered automation and expert curation, it is one of the biggest knowledge graphs and constantly growing.

85 Million Entities

Each biomedical entity is extracted because it has an external ID to a biomedical related dataset and contains various annotated facts.

240 Million Citations

These include 100k+ articles on Fibrotic diseases, 100 Million ontological relationships and 140 Million external IDs

250 Million+ Facts from Articles

Facts extracted using cutting-edge AI and curated by experts, these augment the various data sources we have already integrated into the knowledge graph.

500 Thousand Clinical Trials

Enriched data containing more than on clinical trials. This data ties trials to diseases, interventions, and the related PubMed articles.

Tens of Thousands of Relationship Types

Each of these predicates represents a kind of relationship between entities or properties of an entity

Ready to get started?

Get in touch, or create an Orpheus account

Featured Orpheus Resources

Read up on resources related to knowledge graphs, data tools, information and services authored by Wisecube and its partners.

How to Automate Building Knowledge Graphs ?

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Named Entity Recognition for Knowledge Graphs

The rapid evolution of computer science technologies has brought revolutionary advancements in modern data analytics. Today, we are capable of analyzing not only the data but also the depths of the context behind it. One technique that allows us to dig into the...

How does a Knowledge Graph advance Healthcare?

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Clinical Decision Support Using Healthcare Knowledge Graphs

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Generating Knowledge Graphs from Unstructured Text: How Information Extraction Works

A graph data structure extracts knowledge from various sources, creates connections between entities, and forms  an entwined net called the ‘Knowledge graph.’ A common source of information for knowledge graphs is text. The text to graph approach builds a...

20 Real-World Industrial Applications of Knowledge Graphs

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8 Benefits of Building a Knowledge Graph

As data grows and expands in the digital world, a data layer becomes a valuable asset for organizations. For modern data-driven organizations, more data means more value. "Any knowledge is added value for any use case. It's always better to have more knowledge than...

7 Must-have features in a Knowledge Graph Platform

A Knowledge Graph Platform, is by definition helps you build and operate knowledge graphs from disparate structured and unstructured datasets. First and foremost the Platform should be useful to its users: Life Scientists, Data Scientists, Data Analysts, and R&D...

Wisecube Knowledge Base

We are excited to announce the launch of our new Wisecube product and platform knowledge base. It contains a trove of up to date information about the Wisecube Platform, our APIs and applications we have built in the biomedical space. Be sure to check it out at...

Primer on Knowledge Graphs 

Graphs have been relevant to computer science for a long time for visualizing complex data as a network of human-understandable information. As the internet grew popular and industries began to digitize, data grew exponentially. As data grew, data sources began to...