Yu (Brandon) Xia
Department of Bioengineering
3480 University Street
Montreal, Quebec H3A 0E9, Canada
Office: McConnell Engineering Building, Room 360
Phone: 514-398-5026 (O), 514-246-8751 (C)
I am a Professor in the Department of Bioengineering at McGill University, where I hold the 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). I then 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 are my profiles from Google Scholar and LinkedIn.
- 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).