Multi-parametric mutational and insertional profiling for data-driven models of protein biophysics, Presented by: Daniel Schmidt, Ph.D., Assistant Professor, Department of Genetics, Cell Biology and Development, University of Minnesota | OHSU

Chemical Physiology and Biochemistry

Chemical Physiology and Biochemistry

When	February 7, 2023 12 p.m. to 1 p.m. Add to Calendar 2023-02-07 12:00:00 2023-02-07 13:00:00 Multi-parametric mutational and insertional profiling for data-driven models of protein biophysics, Presented by: Daniel Schmidt, Ph.D., Assistant Professor, Department of Genetics, Cell Biology and Development, University of Minnesota Abstract In this talk, I will describe our ongoing effort to leverage comprehensive assessment of missense and topological mutations to build quantitative biophysical models of the protein sequence, structure, and function relationships. Contact: Samantha Wagner wagnsam@ohsu.edu <p></p><p><a href="https://www.ohsu.edu/node/5718901">Multi-parametric mutational and insertional profiling for data-driven models of protein biophysics, Presented by: Daniel Schmidt, Ph.D., Assistant Professor, Department of Genetics, Cell Biology and Development, University of Minnesota</a></p> Campus: Marquam Hill Campus Building: Vollum Institute Samantha Wagner wagnsam@ohsu.edu America/Los_Angeles public
Where	Campus: Marquam Hill Campus Building: Vollum Institute 3232 SW Research Drive Portland, Oregon 97239 Room: M1441 Vollum Auditorium WebEx Meeting Room
Contact Information	Samantha Wagner wagnsam@ohsu.edu

CPB Seminar: Dr. Daniel Schmidt

Abstract

In this talk, I will describe our ongoing effort to leverage comprehensive assessment of missense and topological mutations to build quantitative biophysical models of the protein sequence, structure, and function relationships.