Dr. Yang Zhang is a professor in the Department of Computational Medicine and Bioinformatics and the Department of Biological Chemistry, University of Michigan. The research interest of Dr. Zhang’s Lab is in protein structure prediction and protein design. 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, 2010, 2012 and 2014. He is the recipient of the US National Science Foundation (NSF) Career Award in 2008, the Alfred P Sloan Award in 2008, and the Dean’s Basic Science Research Award in 2013.
Yang J, Yan R, Roy A, Xu D, Poisson J, Zhang Y. The I-TASSER Suite: Protein structure and function prediction. Nature Methods, 12: 7-8 (2015).
Zhang J, Yang J, Jang R, Zhang Y. GPCR-I-TASSER: A hybrid approach to G protein-coupled receptor structure modeling and the application to the human genome. Structure, 23: 1538-1549 (2015).
Quan S, Wang L, Petrotchenko EV, Makepeace KA, Horowitz S, Yang J, Zhang Y, Borchers CH, Bardwell JC. Super Spy variants implicate flexibility in chaperone action. eLife, 3: e01584 (2014).
Mitra P, Shultis D, Brender JR, Czajka J, Marsh D, Gray F, Cierpicki T, Zhang Y. An evolution-based approach to de novo protein design and case study on Mycobacterium Tuberculosis. PLoS Computational Biology, 9: e1003298 (2013).
Yang Y, Dib-Hajj S, Zhang J, Zhang Y, Tyrrell L, Estacion M, Waxman SG. Structural modelling and mutant cycle analysis predict pharmacoresponsiveness of a Nav1.7 mutant channel. Nature Communications, 3: 1186 (2012).
Roy A, Kucukural A, Zhang Y. I-TASSER: a unified platform for automated protein structure and function prediction. Nature Protocols, 5: 725-738 (2010).