中科院深圳先进技术研究院讲座
报告题目：Genome-wide protein structure prediction and structure-based function annotation
报告人：Yang Zhang 教授
主持人：魏彦杰 博士
时 间：8月28日上午10:30—11:30
地 点：中科院深圳先进技术研究院B917室
The biological function of protein molecules is determined by the shape of their three-dimensional structures. Is it possible to predict protein structure and function from the amino acid sequence? We developed a new algorithm, I-TASSER, which assembles atomic structure of proteins using fragments excised from unrelated experiment structures. Functional insights (e.g. ligand-binding affinity, enzyme classification and gene ontology) are then deduced by matching the predicted structure models with the known proteins in protein function libraries. The I-TASSER algorithm was ranked as the best for automated protein structure prediction in the communitywide CASP experiments of 2006, 2008 and 2010; it was also ranked at the top for protein function annotation in CASP9 in 2010.
In this talk, I first review recent progress in computer-based protein structure prediction including the new developments in ab initio folding and atomic structure refinements since the CASP9 experiment, and show that the protein structure prediction problem can in principle be solved using the current PDB library. Next, we discuss the application of the developed methods to the structural and functional modeling of a number of genomes, including all G-protein coupled receptors (GPCRs) in the human genome, yielding models 90% of which are shown to have correct topology, and Marek’s disease virus, the first success of the computational modeling of a complete viral genome. Finally, we demonstrate how the predicted I-TASSER structure models can be used to annotate the biological function of the proteins and screen drug candidates by matching their global topology and functional sites against the existing structure/function/binding databases.
Yang Zhang obtained his PhD in Physics from the Central China Normal University, Wuhan, China. He is an associate professor at the University of Michigan Medical School. The research interest of the Zhang Lab is in protein structure prediction, protein design and structure-based drug discovery. The I-TASSER algorithm developed in his lab was ranked as the No 1 method for automated protein structure prediction in the worldwide CASP competitions in 2006, 2008, and 2010. He is a recipient of the NSF Career Award and the Alfred P Sloan Award.
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