Computational Structural Biology
Introduction to theory and computation of macromolecular structure. Principles of biopolymer structure: computer representations and database search; molecular dynamics and Monte Carlo simulation; statistical mechanics of protein folding; RNA and protein structure prediction (secondary structure, threading, homology modeling); computer-aided drug design; proteomics; statistical tools (neural networks, HMMs, SVMs). Prerequisites: basic knowledge algorithmic design (Computational Biology and Bioinfomatics 230 or equivalent), probability and statistics (Statistics 611 and 721 or equivalent), molecular biology (Biology 118 or equivalent), and computer programming. Alternatively, consent of instructor.