Developing Drug Targets

Target selection is the starting point of drug discovery project. Innovative drug development should be based on innovative drug targets. AI can learn in depth to uncover the relationship between drugs and diseases, find effective targets and shorten the period of target discovery, so as to speed up the drug development process. At CD ComputaBio's AI platform, through analyzing massive literature, patents and clinical results with data collection and mining system, our scientists apply machine learning models to gather mountains of data to assess whether targets are "promising".

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  Protein-Protein Interaction Prediction

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  New Antigen Prediction

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  Target Identification

Highlights

• Integrate hundreds of biomedical databases and acquires massive information
• Identify novel targets, phenotype and clinical correlates
• Efficient tool to access, visualize and infer knowledge through a virtual knowledge network
• Discover new targets for disease treatment and biomarkers for diagnosis.