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Integrated Modeling in Computational Proteomics
Speaker:
Dr. Yu (Brandon) Xia
Assistant Professor
Bioinformatics Program and the Department of Chemistry
Boston University, USA
Time: 10-11am, Tuesday, Aug. 7
Location: Room 610, New Life Science Building, Peking University
Abstract:
Proteins can be characterized at many different levels: they are encoded in the genome as one-dimensional sequences; they fold up into three-dimensional structures to carry out specific functions; their abundance and localization are tightly regulated; they interact with one another to give rise to complex phenotypes. With the rapid accumulation of genome-wide measurements for these diverse protein properties, a central challenge in computational biology is to model these genomic datasets, which are heterogeneous, noisy, and often incomplete, within a single probabilistic framework. Such integrated modeling allows for useful predictions of important protein properties that are difficult to measure experimentally, and reveals biologically meaningful relationships among these protein properties. In this talk, I will illustrate the power of genomic data integration by applying it to the prediction and analysis of protein networks in yeast.
About the speaker:
Yu Xia received his B.S. in Chemistry (major) and Computer Science (minor) from Peking University. He gained his Ph.D. in Chemistry from Stanford University, working with Michael Levitt on computational structural biology. Following that he was a Jane Coffin Childs fellow at Yale University, working with Mark Gerstein on protein bioinformatics. He is currently an Assistant Professor in the Bioinformatics Program and the Department of Chemistry at Boston University. His research interests include the prediction and analysis of protein structures and networks.
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