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CS92PROD
Molecular and Cellular Biophysics

CHEM 309
Fall 2022
Section: 01  
Crosslisting: MB&B 309, CHEM 509, MB&B 509, PHYS 339, PHYS 539
Course Cluster and Certificates: Health Studies

This course is an integrated consideration of the biophysics and biophysical chemistry of biological systems from molecules to cells. The objective is to develop a critical sense of the quantitative data currently being obtained from microscopy to spectroscopy, considering both ensemble and single-molecule experiments, and to gain familiarity and facility with interpretation using mathematical and computational models. Biological systems are inherently complex, and some form of modeling is always involved in developing an explanation of how they work. However, these models typically involve only a few basic constructs (simple harmonic motion, ideal fluids, two-state Ising models, random walks, electrostatic interactions, classical dynamics, rate equations, QM energy levels, distribution functions, and network analysis) and only elementary aspects of linear algebra, calculus, differential equations, and statistics. This course deals with how these constructs are integrated in the framework of Boltzmann statistical mechanics to formulate mathematical models of biological phenomena, how these models are validated and refined, and how they are used to form explanations and make testable predictions. Model systems to be considered include the nucleosome, the ribosome, membrane dynamics and ion channels, molecular devices and motors, prototype signal transduction systems, and regulatory processes. This course is suitable for physics and chemistry students who wish to learn about biological applications and for molecular and cellular biology students to develop skills with quantitative physicochemical modes of inquiry applied to the life sciences.
Credit: 1 Gen Ed Area Dept: NSM CHEM
Course Format: LectureGrading Mode: Graded
Level: UGRD Prerequisites: None
Fulfills a Requirement for: (CHEM-Track A)(CHEM-Track B)(INFO-MN)(MB&B)(MOBI-MN)(PHYS-MN)
Past Enrollment Probability: 75% - 89%

Last Updated on NOV-06-2024
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