Linking Sequence and Structure
with Function

UCSF
The California Institute for Quantitative Biomedical Research (QB3)
1700 4th Street, 5th Floor
San Francisco, CA 94134


Mark Peterson
Graduate Student
Program in Biological and Medical Informatics

Background

I graduated from Stanford University in 1999, with a major in Electrical Engineering and having completed the pre-medical biology and chemistry curriculum as well. I subsequently completed a Master's Degree in Computer Science at the University of Illinois, and then spent a year doing research in the Theoretical Biology and Biophysics group at the Los Alamos National Laboratory. I am currently a second-year PhD student in Bioinformatics at UCSF, joint with Patricia Babbitt and Andrej Sali.

Research Summary

Improving protein representation for the purpose of protein structure prediction

We are developing a more integrated approach to protein structure prediction which will combine disparate information sources (e.g., physics-based restraints, sequence alignments, etc.). A key part of this integrated approach is the representation of the protein. I am investigating information-theoretic approaches to the development of a proveably optimum protein representation given specified problem constraints.

Education

B.S. Electrical Engineering (also pre-med), Stanford University
M.S. Computer Science, University of Illinois.
Graduate Research Assistant for 1 year in Theoretical Biology, Los Alamos National Lab.