Proteins and Nucleic Acids (100.708/250.685)
Course Directors: Drs. Sarah Woodson and Greg Bowman
This graduate-level course provides an introduction to macromolecular structure with emphasis on the physical underpinnings. Topics include: primary, secondary, tertiary structure of proteins and RNA; sequence analysis, energetics, folding, evolution, and simulations. Format is lecture-based with computer-based lab assignments. The course begins with an intensive introduction to a computer scripting language and the Unix operating system. Prerequisite: Introduction to Python (250.683); Offered at the Homewood Campus
Macromolecular Structure and Analysis (100.709)
Instructors: Drs. Robert Cotter, Rachel Green, Jan Hoh, Daniel Leahy, Dan Raben, Ronald Schnaar, David Shortle, Herschel Wade, Cynthia Wolberger, Tom Woolf, and Jin Zhang
The structure and properties of biological macromolecules will be presented. Experimental and computational methods used to study macromolecular structure including X-ray crystallography, magnetic resonance, spectroscopy, microscopy, and mass spectrometry will also be covered.
Biochemical and Biophysical Principles (100.710)
Instructors: Drs. L. Mario Amzel, Jon Lorsch, David Shortle, Jie Xiao, and Herschel Wade
The physical and chemical principles underlying biological processes are presented and discussed. Topics include thermodynamics, chemical equilibrium, chemical and enzymatic kinetics, electrochemistry, physical chemistry of solutions, and structure and properties of water. Elementary concepts of statistical thermodynamics will be introduced as a way of correlating macroscopic and microscopic properties.
Topics in Macromolecular Structure and Function (100.804)
Instructor: Dr. Daniel Leahy
This is a weekly literature-based seminar class given by graduate students, faculty, post-doctoral fellows and guest lecturers. The class is offered each semester by the Department of Biophysics and Biophysical Chemistry and is open to everyone. Interested students may take the class for credit.
Research Projects in Biochemistry, Biophysics and Molecular Biology (340.806)
Instructors: Basic Sciences Faculty
General research.
Computational Biology and Bioinformatics (Bioinformatics) (800.707)
Instructor: Dr. Jonathan Pevsner
This course is a survey of quantitative methods in modern biology and the computational concepts that are developing to analyze large data sets. Topics range from a review of statistics to problems in sequence analysis to the modeling of complex systems. The goal of the course is to familiarize students with the concepts of computational biology rather than to achieve a deep understanding of any one topic. CourseWebSite |