Visualize hidden biological connections
Ontosight® Explore: The pre-clinical drug discovery ecosystem
Ontosight® Explore enables the exploration, detection and building of various direct and in-direct connections between drug, target, pathway and disease. We leverage a biological network model using enhanced natural language processing, statistical scoring approach and entity normalization. Our self learning, life science ontology, has more than 20 million concepts and terms and brings together more than 1 trillion data connections. That’s relevant power at your fingertips!
261 K+
Drugs
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Associations
32 K+
Protein Targets
38 K+
Diseases
4 K+
Pathways
Accelerate your pre-clinical studies and drug discovery areas based on AI
Ontosight® Explore understands the language of biological networks
Ontosight® Explore is based on an integrated ontology for life sciences that relates all the biological entities empowering end users derive deep insights. Our in-house ontology includes more than 20 million concepts and terms. This is by far, the largest available, self learning ontology, available for the life sciences. With this, we can identify and classify drug, disease, targets, and pathways all visualized for you to dive deeper for further insights.

Network model
Network organization of drug, disease, target, and pathways based on pre-set parameters.

Direct connection
Various associated pathways based on scientific literature and degree of closeness.

Pathway card
Associated information for the approved drugs, diseases, pathway, potential drug, etc.

Analysis target associated path
A quick landscape on associated drugs covering, market status, clinical trials etc.
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