Ontosight Explore - Pre-Clinical Drug Discovery Eco System
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!
It provides potential targets available in the same target family. These targets are present in their associated pathways, which may have less competition but higher druggability and association score.
It provides multiomics data integrated with various biological pathways. It helps you understand the complexity of diseases and identify associated diseases and targets.
It provides a better opportunity to identify similar/analogue drugs/ chemicals for any given diseases which could be further prioritized based on drug-likeness score adverse effects and toxicity effects.
It empowers users to identify prediction of new drugs or alternative indications for any given drugs based on the clinical data and network modularity wherein it may exert a better efficacy with less competitive drugs.
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.