Teresa Przytycka, Ph.D.
Dr. Przytycka is particularly interested in the dynamical properties of biological systems including spatial, temporal and contextual variations and exploring how such variations are impacting gene expression, functioning of biological pathways, and the phenotype of the organism.
After receiving a Ph.D. in Computer Science form the University of British Columbia, Vancouver, Teresa Przytycka's research has been concentrated on the theory of algorithms until, as a Sloan/DOE Computational Biology fellow, she started to apply algorithmic approaches to problems in Molecular and Systems biology. As an NIH Senior Investigator, she is heading a research group that focuses on computational modeling and analysis of biological processes, with an emphasis on hypothesis and theory-driven questions that are enabled by large-scale data.
Salari R, Kimchi-Sarfaty C, Gottesman MM, Przytycka TM. Sensitive measurement of single-nucleotide polymorphism-induced changes of RNA conformation: application to disease studies. Nucleic Acids Res. 2013;41(1):44-53.
Hoinka J, Zotenko E, Friedman A, Sauna ZE, Przytycka TM. Identification of sequence-structure RNA binding motifs for SELEX-derived aptamers. Bioinformatics. 2012;28(12):i215-23.
Kim YA, Wuchty S, Przytycka TM. Identifying causal genes and dysregulated pathways in complex diseases. PLoS Comput Biol. 2011;7(3):e1001095.
Zotenko E, Mestre J, O'Leary DP, Przytycka TM. Why do hubs in the yeast protein interaction network tend to be essential: reexamining the connection between the network topology and essentiality. PLoS Comput Biol. 2008;4(8):e1000140.
Jothi R, Cherukuri PF, Tasneem A, Przytycka TM. Co-evolutionary analysis of domains in interacting proteins reveals insights into domain-domain interactions mediating protein-protein interactions. J Mol Biol. 2006;362(4):861-75.