Brief description of available classes
With recent advances in gene sequencing efforts, it is critical to gain an understanding of the interrelationship between sequence and structure, and structure and function of proteins. This is best achieved with the aid of computational methods in structural biology. Our goal in this course is to provide enough background to allow students to use current results or software from computational structural biology in their work or to begin pursuing research in the area.
This class covers : - discrete structures and their applications in computer science, - Proofs, particularly induction. - Introduction to propositional logic, - combinatorics, - recursion and solution of recurrence relations, - analysis of algorithms.
This class covers: - algorithmic problems in structural biology, - protein structure classification, - protein structure prediction (including comparative modeling and ab initio protein structure prediction) - molecular simulations (molecular dynamics and Monte Carlo simulations).
This series of seminar focuses on the benefits of applying computing technology and science to biological research. Some of the topics we cover include: genome projects, bio-molecules, biological databases, bioinformatics and computational structural biology. "Information technology" usually does not mean much to biologists, and reversely, "biology" does not mean much to a computer professional. Our goal in this seminar series is to bring awareness to the students of the critical need of interdisciplinary approaches to study biological problems, focusing on the possibilities that computers create for biologists.