SYSUCC Sun Yat-sen University Cancer Center



Bioinformatics for protein functional motifs

Our group are interested in protein sequence and structure motifs which mediate functions including post-translational modifications (PTMs), protein subcellular localization, protein-binding/recognition, etc. We construct various data repositories to annotate the protein functional motifs, and develop a series of statistical inference and machine learning based methods and tools to predict potential functional motifs. Based on these computational resources, we analyze the functional motifs mediated signaling transductions and their aberrances in cancers and disease, and collaborate with excellent experimental scientists closely to explore the functions and biomarkers for the protein functional motifs.