Intelligent Design Platform

Develop AI technology to improve the design accuracy of synthetic biology

Intelligent Design Platform

Our platform runs on the basis of artificial intelligence-assisted machine learning to develop a predictive model from underlying algorithms and given data sets. Through conducting a series of circular training methods, including parameter discovery, parameter estimation, model performance evaluation, error identification, and correction, our platform is able to optimize model performance, to find the best model parameter, and to precisely predict the input data, thereby accelerating the directed evolution of enzyme molecules and genetic circuits.