Research OverviewComputational Modeling Computational Modeling uses mathematical models to study the behavior of complex systems, by means of computer simulation. Unlike laboratory experiments, computer simulations make use of high speed computers to determine outcomes when particular parameters are changed. Computer simulations are often useful for solving problems that do not have simple or intuitive solutions, and that often involve large numbers of variables, intense computations and/or nonlinear calculations. | Research DescriptionResearch Area: Computational Biology Research Specialties: Human Diseases and SNPS, Structural Genomics, Alternative Splicing, Horizontal Transfer and Operons in Bacteria, Prediction of Protein Structure Human Diseases and SNPS
The single nucleotide polymorphisms are cause of many human diseases. Our group is developing models to predict deleterious mutations on basis of protein stability by modeling impact of mutations on protein structure. The models have been applied to all known missense mutation in the human (http://www.snps3d.org/). We are also developing tools to help us understand complex traits by in the context of protein-protein interactions... Complete Information... |
Representative PublicationsSNPS and Diseases Proteins. 2003 Nov 15;53(3):748-57. Three-dimensional structural location and molecular functional effects of missense SNPs in the T cell receptor Vbeta domain. Hum Mutat. 2001 Apr;17(4):263-70. SNPs, protein structure, and disease. Wang Z, Moult J.
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