Gene function annotation using deep learning algorithms. 

In order to reconstruct high quality plant genome-scale metabolic model, we are developing deep learning algorithms to annotate proteins and enzymes function such as protein membrane permeability and enzyme specificity.

High efficient plant metabolic engineering to improve natural product yield.

We are working on reconstruction of plant genome-scale metabolic models to simulate plant metabolic flutuation under stresses or engineering. Specifically, we are aiming to targeting key genes to improve plant resistance under stresses as crops and increase natural product yield as synthetic chassis, under a Model-prediction, Design, Build, Test and Model-improvement cycle. Please contact us if you are interested in collaborating with us.