CS 279
Computational Biology: Structure and Organization of Biomolecules and Cells
(cross-listed as BIOMEDIN 279, BIOPHYS 279, and CME 279)
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Course Information

Description: This course will focus on computational techniques used to study the structure and dynamics of biomolecules, cells, and everything in between. For example, what is the structure of proteins, DNA, and RNA, and how do their motions contribute to their function? How are molecules distributed and compartmentalized within a cell, and how do they move around? How might one modify the behavior of these systems using drugs or other therapeutics? How can structural information contribute to the design of drugs, proteins, or perhaps even cells?

Computation can contribute to addressing such questions in at least two distinct ways. First, one can use computational analysis to extract information from experimental measurements, and to interpret and combine the results of such experiments. Second, one can use physical principles to predict structure or simulate motion.

The first part of the course will cover atomic-level molecular modeling methods for proteins and other biomolecules, including structure determination and prediction, molecular dynamics simulation, docking, and protein design. The second part will cover techniques for determining structures or structural properties of macromolecular complexes – for example, through cryoelectron microscopy. The third part will cover the cellular level of spatial organization, including computational analysis of optical microscopy images and video, and simulations at the cellular scale. The course will cover both foundational material and cutting-edge research in each of these areas.

Coursework: Students will be expected to complete three assignments, each of which will involve a combination of theoretical questions and computer work. Students will also be expected to complete a project. The project will involve about as much work as an assignment, but it will be more open-ended and will allow students to delve into a topic of their choosing in more depth.

Prerequisites: Elementary Programming Background (at the level of 106A), Introductory Course in Biology

Instructor: Ron Dror

TA: Osama El-Gabalawy

TA: Quinlan Jung

Contact: Please use Piazza for questions related to lectures and assignments.
If you have issues that cannot be resolved on Piazza, please contact us at cs279-aut1516-staff@lists.

Class: Tuesday - Thursday 3:00 PM - 4:20 PM, Econ 140 (Landau Economics Building)

Announcements: All announcements will be made on Piazza.

Materials: There is no required textbook. We will suggest a variety of optional reading material throughout the course.

Exam: There will be a final exam held on Tuesday, December 8, 2015 from 3:30 PM - 5:30 PM in Herrin Hall (Biology), Room T175.




Python Resources

In this class, the programming assignments will be in Python. If you have prior experience with Python, great! If you don't, no worries! All we expect is that you're familiar with basic programming. That said, if you've never worked with Python before, it may be helpful to look at some of the following resources to help you get up to speed.