Faculty & Staff Directory
- Director, School of Systems Biology
PhD, Russian Academy of Sciences
Dr. Vaisman is Professor of Bioinformatics and Computational Biology and Director of the School of Systems Biology.Current research projects involve different areas of computational biology and bioinformatics, with specific focus on understanding correlations between protein sequence, structure and function using machine learning models.
Current research projects involve different areas of computational biology and bioinformatics, with specific focus on understanding correlations between protein sequence, structure and function using machine learning models.
BINF 630, Bioinformatics Methods
BINF 731, Computational Protein Structure Analysis
D.L. Bostick, M. Shen, I.I. Vaisman, A simple topological representation of protein structure: implications for new, fast, and robust structural classification, Proteins: Structure, Function, and Bioinformatics, 2004, 56 (3), 487-501 (https://onlinelibrary.wiley.com/doi/full/10.1002/prot.20146)
M. Masso, I.I. Vaisman, Accurate prediction of stability changes in protein mutants by combining machine learning with structure based computational mutagenesis, Bioinformatics, 2008, 24 (18), 2002-2009 (https://academic.oup.com/bioinformatics/article/24/18/2002/190733)
T.J. Taylor, I.I. Vaisman, Discrimination of thermophilic and mesophilic proteins, BMC Structural Biology, 2010, 10 (1), S5 (https://bmcstructbiol.biomedcentral.com/articles/10.1186/1472-6807-10-S1-S5)
M. Masso, I.I. Vaisman, Structure-based machine learning models for computational mutagenesis, Introduction to Protein Structure Prediction: Methods and Algorithms, 2010 (https://onlinelibrary.wiley.com/doi/abs/10.1002/9780470882207.ch18)
I.I. Vaisman, Statistical and computational geometry of biomolecular structure, Handbook of Computational Statistics, 2012 (https://link.springer.com/chapter/10.1007/978-3-642-21551-3_36)