Faculty

Yang Zhang

Professor, Department of Computational Medicine & Bioinformatics
Professor, Biochemistry

Ph.D., Central China Normal University
Postdoctoral, University at Buffalo

Research Focus: Bioinformatics, computational biology, protein structure prediction, protein design and drug discovery

Phone: 734.647.1549
E-mail: zhng@umich.edu
Fax: 734.615.6553

The goal of the Zhang lab is to understand the fundamental relations between protein sequence, structure and function. The major focus of the lab is to develop new bioinformatics algorithms to predict 3-dimensional protein structure from the amino acid sequence and deduce the biological function of proteins by comparing the predicted structures with the function databases.

The computational methods developed by the Zhang lab have been demonstrated in the CASP experiments to be the world's best for protein structure prediction and function annotation. The lab is currently working on extending the developed protein modeling algorithms for protein design and structure-based drug discovery. They are especially interested in modeling G protein-coupled receptors and the interactions with the associated ligands with the purpose of developing new drugs to regulate these interactions

Zhang Research Group

 

Awards

Dean's Basic Science Research Award
Alexander von Humboldt Fellow
Alfred P. Sloan Award
NSF Career Award



Representative Publications

  1. Srayanta Mukherjee, Yang Zhang. Protein-protein complex structure prediction by multimeric threading and template recombination. Structure, vol 19, 955-966 (2011).

  2. Sitao Wu, Andras Szilagyi, Yang Zhang. Improving Protein Structure Prediction Using Multiple Sequence-Based Contact Predictions. Structure, vol 19, 1182-1191 (2011).

  3. Andrea Bazzoli, Andrea G. B. Tettamanzi, Yang Zhang. Computational Protein Design and Large-Scale Assessment by I-TASSER Structure Assembly Simulations. Journal of Molecular Biology, vol 407, 764-776 (2011)

  4. Ambrish Roy, Alper Kucukural, Yang Zhang. I-TASSER: a unified platform for automated protein structure and function prediction. Nature Protocols, vol 5, 725-738 (2010).

  5. Sitao Wu, Yang Zhang. Recognizing Protein Substructure Similarity Using Segmental Threading. Structure, vol 18, 858-867 (2010).

  6. Yang Zhang. Protein structure prediction: when is it useful? Current Opinion in Structural Biology, vol 19, 145-155 (2009).

  7. Yang Zhang. Progress and challenges in protein structure prediction. Current Opinion in Structural Biology, vol 18, 342-348 (2008).

  8. Yang Zhang, Isaac A. Hubner, Adrian K. Arakaki, Eugene Shakhnovich, Jeffrey Skolnick. On the origin and highly likely completeness of single-domain protein structures. Proceedings of the National Academy of Sciences of USA, vol 103, 2605-2610 (2006).

  9. Yang Zhang, Jeffrey Skolnick. The protein structure prediction problem could be solved using the current PDB library. Proceedings of the National Academy of Sciences of USA, vol 102, 1029 (2005).

  10. Yang Zhang, Jeffrey Skolnick. Automated structure prediction of weakly homologous proteins on a genomic scale. Proceedings of the National Academy of Sciences of USA, vol 101, 7594 (2004).

 

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