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1 - 10 of 11 results for: BIOPHYS

BIOPHYS 227: Functional MRI Methods (RAD 227)

Basics of functional magnetic resonance neuroimaging, including data acquisition, analysis, and experimental design. Journal club sections. Cognitive neuroscience and clinical applications. Prerequisites: basic physics, mathematics; neuroscience recommended.
Terms: Win | Units: 3 | Grading: Medical Option (Med-Ltr-CR/NC)

BIOPHYS 241: Biological Macromolecules (BIOC 241, BIOE 241, SBIO 241)

The physical and chemical basis of macromolecular function. Topics include: forces that stabilize macromolecular structure and their complexes; thermodynamics and statistical mechanics of macromolecular folding, binding, and allostery; diffusional processes; kinetics of enzymatic processes; the relationship of these principles to practical application in experimental design and interpretation. The class emphasizes interactive learning, and is divided equally among lectures, in-class group problem solving, and discussion of current and classical literature. Enrollment limited to 40. Prerequisites: Background in biochemistry and physical chemistry recommended but material available for those with deficiency in these areas; undergraduates with consent of instructor only.
Terms: Aut, not given this year, given next year | Units: 3-5 | Grading: Medical Option (Med-Ltr-CR/NC)

BIOPHYS 242: Methods in Molecular Biophysics (SBIO 242)

Experimental methods in molecular biophysics from theoretical and practical standpoints. Emphasis is on X-ray diffraction, nuclear magnetic resonance, and fluorescence spectcroscopy. Prerequisite: physical chemistry or consent of instructor.
Terms: Win | Units: 3 | Grading: Medical Option (Med-Ltr-CR/NC)

BIOPHYS 279: Computational Biology: Structure and Organization of Biomolecules and Cells (BIOE 279, BIOMEDIN 279, CME 279, CS 279)

Computational techniques for investigating and designing the three-dimensional structure and dynamics of biomolecules and cells. These computational methods play an increasingly important role in drug discovery, medicine, bioengineering, and molecular biology. Course topics include protein structure prediction, protein design, drug screening, molecular simulation, cellular-level simulation, image analysis for microscopy, and methods for solving structures from crystallography and electron microscopy data. Prerequisites: elementary programming background ( CS 106A or equivalent) and an introductory course in biology or biochemistry.
Terms: Win | Units: 3 | Grading: Letter or Credit/No Credit
Instructors: Dror, R. (PI)

BIOPHYS 297: Bio-Inorganic Chemistry (CHEM 297)

Overview of metal sites in biology. Metalloproteins as elaborated inorganic complexes, their basic coordination chemistry and bonding, unique features of the protein ligand, and the physical methods used to study active sites. Active site structures are correlated with function (election transfer; dioxygen binding, activation and reduction to water). Prerequisites: 153 and 173, or equivalents.
Terms: Win | Units: 3 | Grading: Letter (ABCD/NP)
Instructors: Solomon, E. (PI)

BIOPHYS 300: Graduate Research

Investigations sponsored by individual faculty members. Prerequisite: consent of instructor.
Terms: Aut, Win, Spr, Sum | Units: 1-18 | Repeatable for credit | Grading: Medical Satisfactory/No Credit
Instructors: Airan, R. (PI) ; Altman, R. (PI) ; Barron, A. (PI) ; Bintu, L. (PI) ; Block, S. (PI) ; Boettiger, A. (PI) ; Boxer, S. (PI) ; Brandman, O. (PI) ; Brunger, A. (PI) ; Bryant, Z. (PI) ; Butte, M. (PI) ; Cegelski, L. (PI) ; Chaudhuri, O. (PI) ; Chen, X. (PI) ; Chiu, W. (PI) ; Chu, G. (PI) ; Chu, S. (PI) ; Cochran, J. (PI) ; Cui, B. (PI) ; Dabiri, J. (PI) ; Das, R. (PI) ; Davis, M. (PI) ; Doniach, S. (PI) ; Dror, R. (PI) ; Dunn, A. (PI) ; Feng, L. (PI) ; Ferrell, J. (PI) ; Fisher, D. (PI) ; Fordyce, P. (PI) ; Frydman, J. (PI) ; Garcia, C. (PI) ; Glover, G. (PI) ; Goodman, M. (PI) ; Greenleaf, W. (PI) ; Hanawalt, P. (PI) ; Harbury, P. (PI) ; Herschlag, D. (PI) ; Hodgson, K. (PI) ; Huang, K. (PI) ; Huang, P. (PI) ; Jardetzky, T. (PI) ; Khosla, C. (PI) ; Kim, P. (PI) ; Kobilka, B. (PI) ; Kool, E. (PI) ; Kopito, R. (PI) ; Kornberg, R. (PI) ; Kundaje, A. (PI) ; Levin, C. (PI) ; Levitt, M. (PI) ; Lewis, R. (PI) ; Li, J. (PI) ; Li, L. (PI) ; Liphardt, J. (PI) ; Long, S. (PI) ; Maduke, M. (PI) ; Martinez, T. (PI) ; Meyer, T. (PI) ; Moerner, W. (PI) ; Pande, V. (PI) ; Pelc, N. (PI) ; Prakash, M. (PI) ; Pruitt, B. (PI) ; Puglisi, J. (PI) ; Quake, S. (PI) ; Rao, J. (PI) ; Riedel-Kruse, I. (PI) ; Saggar, M. (PI) ; Salzman, J. (PI) ; Schnitzer, M. (PI) ; Skotheim, J. (PI) ; Smith, S. (PI) ; Solomon, E. (PI) ; Spakowitz, A. (PI) ; Spudich, J. (PI) ; Tang, S. (PI) ; Teruel, M. (PI) ; Theriot, J. (PI) ; Ting, A. (PI) ; Wagner, A. (PI) ; Wandless, T. (PI) ; Wang, B. (PI) ; Weis, W. (PI) ; Zare, R. (PI) ; de la Zerda, A. (PI)

BIOPHYS 371: Computational Biology in Four Dimensions (BIOMEDIN 371, CME 371, CS 371)

Terms: not given this year | Units: 3 | Grading: Letter or Credit/No Credit
Instructors: Dror, R. (PI)

BIOPHYS 393: Biophysics of Solvation (APPPHYS 393)

Statistical mechanics of water-protein or water-DNA (or RNA) interactions; effects of coulomb forces on molecular hydration shells and ion clouds; limitations of the Poisson-Boltzmann equations; DNA collapse, DNA-protein interactions; structure-function relationships in ion channels.
Terms: Win, alternate years, not given next year | Units: 3 | Grading: Letter or Credit/No Credit
Instructors: Doniach, S. (PI)

BIOPHYS 399: Directed Reading in Biophysics

Prerequisite: consent of instructor.
Terms: Aut, Win, Spr, Sum | Units: 1-18 | Repeatable for credit | Grading: Medical Satisfactory/No Credit

BIOPHYS 801: TGR Project

Terms: Aut, Win, Spr, Sum | Units: 0 | Repeatable for credit | Grading: TGR
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