Employ Artificial Intelligence to Revolutionize Drug Discovery
Deriving a data-driven principle that has the power of explaining physical and chemical nature of biological systems, which we harness to accelerate drug discoveries.
What is our philosophy
To derive a data-driven principle that has the power of explaining physical and chemical nature of biological systems, which we harness to accelerate drug discoveries.
What have we done
A data-driven atom-based scoring function is learned from 100,000 protein crystal structures containing information of >100 million amino acid side chains.
A dynamic deep neural network specifically designed for chemical informatics.
Why is our work impactful
Beating current gold standard in computation-aided drug discovery:
Drug pocket side chain conformation prediction and drug docking with significantly increased accuracy compared to standard method.
Prediction of chemical compound characteristics (solubility, binding affinity, etc) significantly better than current standard.

Recent News

Accutar Tops ongoing Kinase-drug binding affinity prediction Dream Challenge
Accutar to present at Amgen AI conference, Boston
Accutar presented at World Artificial Intelligence Conference 2018, Shanghai
Ligand docking and virtual screen for drug discovery
Leadership
Jie Fan, Ph. D.
Founder and CEO
Wei He, Ph. D.
Cheif Scientific Officer
Yimin Qian, Ph. D.
Chief Discovery Officer,
Head of Chemistry
Xiangyan Sun, M. S.
Chief Technology Officer
Aaron Feng Chen, Ph. D.
Chief Business Officer