Yu (Brandon) Xia
Department of Bioengineering
Faculty of Engineering
Montreal, Quebec H3A 0C3, Canada
Office: Macdonald Engineering Building, Room 389
Phone: 514-398-5026 (O), 514-246-8751 (C)
I am an Associate
Professor in the Department of
Bioengineering at McGill University, where I hold
a Canada Research
Chair in Computational and
Systems Biology. At McGill, I am also affiliated with the Graduate Program in Biological and Biomedical
Engineering, the Graduate Program in Quantitative Life Sciences,
the Quantitative Biology Initiative, the Centre for Structural Biology, and the Department of Biomedical Engineering.
External to McGill, I am affiliated with the Center for Cancer Systems Biology
at Dana-Farber Cancer Institute.
I graduated from Peking University with B.S. in Chemistry (major) and Computer Science (minor). I received my
Ph.D. in Chemistry from Stanford University specializing in
computational structural biology with Michael Levitt (2013 Nobel laureate), and carried out postdoctoral
research in bioinformatics with Mark Gerstein at Yale University. Prior to joining McGill University, I was an
Assistant Professor of Bioinformatics and Chemistry at Boston University, with a secondary
appointment in Biomedical Engineering.
Here is my Google Scholar profile.
- Interactome evolution: insights from genome-wide analyses of protein-protein
interactions. Curr. Opin. Struct. Biol. 50: 42-48 (2018).
- Domain-based prediction of the human
isoform interactome provides insights into the functional impact of alternative splicing. PLoS Comput. Biol.
13: e1005717 (2017).
- The impact of native state switching on
protein sequence evolution. Mol. Biol. Evol. 34: 1378-1390 (2017).
- Widespread expansion of protein interaction capabilities by alternative splicing.
Cell 164: 805-817 (2016).
- Widespread macromolecular
interaction perturbations in human genetic disorders.
Cell 161: 647-660 (2015).
- Signatures of pleiotropy, economy and
convergent evolution in a domain-resolved map of human-virus
protein-protein interaction networks. PLoS Pathog. 9: e1003778 (2013).
Structural principles within the human-virus protein-protein interaction network.
Proc. Natl. Acad. Sci. USA 108: 10538-10543 (2011).
Predicting eukaryotic transcriptional cooperativity by Bayesian network integration of genome-wide data.
Nucleic Acids Res. 37: 5943-5958 (2009).
Structural determinants of protein evolution are context-sensitive at the residue level.
Mol. Biol. Evol. 26: 2387-2395 (2009).
Relating three-dimensional structures to protein networks provides evolutionary insights.
Science 314: 1938-1941 (2006).