We use Automation, HTE and AI technologies to develop novel methodology, build reaction prediction AI model, and develop new drug for respiratory system disease.
1.Develop novel methodology, including decarboxylative coupling, C–H activation, multicomponent reaction, asymmetric catalysis, photoredox catalysis, etc.
2.Build AI model for reaction outcome prediction based on the creation of standardized reaction database.
3.Develop new drug for respiratory system disease. We will focus on targets like PLPRO, develop novel tool for compound library synthesis and HTS to expedite the drug discovery process.
If we accomplish our goal, we can not only solve the theoretical problem of retrosynthesis analysis about how to transform a target molecule into simpler precursors, but also solve the practical problem of forward reaction prediction about how to put all feedstock precursors together to make the target molecule, it will definitely bring the chemical synthesis into the era of Lego stacking.
We hope, in the future, chemists don't need to spend most of their time and energy on how to design routes and manually make molecules, but focusing on how to discover novel chemical reactions, what molecules to make, and how to use these molecules to solve problems.