A company founded by pharmaceutical CEOs and artificial intelligence experts.
4 Drug AI Patent applications
2 Paper Published
Selected Global startup accelerating program start-up Chile 'Drug-Drug interaction prediction platform'
The Ministry of SMEs and Startups
for the start-up growth R&D project
selected the "Deep Learning New Drug Candidate Discovery Platform"
BioAI uses a supercomputer to manage and analyze biopharmaceutical big data, and produce and supply customized artificial intelligence solutions through this.
A platform for discovering new drug candidates with artificial intelligence. It not only enables physical savings of the enormous time and cost of research and development of pharmaceuticals, but also enables new drug research using the characteristics of human and other artificial intelligence.
Segyu Lee, Junil Bang, Sungeun Hong, Woojung Jang.(2021). Abcnet : self-attention based atom, bond message passing network for predicting drug-target interaction. bioRxiv, doi: https://doi.org/10.1101/2021.12.27.474154
Junil Bang, Segyu Lee, Sungen Hong, Seon Uk Kim, Hwajong Kim. (2021). Drug-target interaction deep learning model study using protein multi-sequence alignment. Proceedings of Symposium of the Korean Institute of communications and Information Sciences, (), 1321-1322.
Securing Our Patents - 4 Cases
Intellectual property name
Application country/application number
System and method for predicting interaction of drug-target proteins including deep learning modules to predict stereostructures of target proteins
Deep Learning Drug Discovery Effective Substance Discovery Platform
Method of Deriving Artificial Intelligence New Drug Candidates Using Active Cliff Prediction
Prediction Method of Protein Inhibition of Neurological Disease in Drugs Using Deep Learning Model