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BIOPHYS 250: Seminar in Biophysics

Required of Biophysics graduate students. Presentation of current research projects and results by faculty in the Biophysics program. May be repeated for credit.
Terms: Aut | Units: 1 | Repeatable for credit
Instructors: ; Weis, W. (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
Instructors: ; Altman, R. (PI); Barron, A. (PI); Block, S. (PI); Boxer, S. (PI); Brunger, A. (PI); Bryant, Z. (PI); Butte, M. (PI); Cegelski, L. (PI); Chen, X. (PI); Chu, G. (PI); Cochran, J. (PI); Cui, B. (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); 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); Jardetzky, T. (PI); Khosla, C. (PI); Kobilka, B. (PI); Kool, E. (PI); Kopito, R. (PI); Kornberg, R. (PI); Levin, C. (PI); Levitt, M. (PI); Lewis, R. (PI); Liphardt, J. (PI); Long, S. (PI); Maduke, M. (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); Schnitzer, M. (PI); Skotheim, J. (PI); Smith, S. (PI); Solomon, E. (PI); Spakowitz, A. (PI); Spudich, J. (PI); Tang, S. (PI); Theriot, J. (PI); Weis, W. (PI); Zare, R. (PI); de la Zerda, A. (PI); Frank, D. (GP); Habebo, T. (GP); Mesa, J. (GP)

BIOPHYS 399: Directed Reading in Biophysics

Prerequisite: consent of instructor.
Terms: Aut, Win, Spr, Sum | Units: 1-18 | Repeatable for credit
Instructors: ; Altman, R. (PI); Barron, A. (PI); Block, S. (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); Chu, G. (PI); Cochran, J. (PI); Cui, B. (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); 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); Jardetzky, T. (PI); Khosla, C. (PI); Kim, P. (PI); Kobilka, B. (PI); Kool, E. (PI); Kopito, R. (PI); Kornberg, R. (PI); Levin, C. (PI); Levitt, M. (PI); Lewis, R. (PI); Liphardt, J. (PI); Long, S. (PI); Maduke, M. (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); Salzman, J. (PI); Schnitzer, M. (PI); Skotheim, J. (PI); Smith, S. (PI); Solomon, E. (PI); Spakowitz, A. (PI); Spudich, J. (PI); Tang, S. (PI); Theriot, J. (PI); Wandless, T. (PI); Weis, W. (PI); Zare, R. (PI); de la Zerda, A. (PI); Frank, D. (GP); Habebo, T. (GP); Mesa, J. (GP)

BIOPHYS 801: TGR Project

Terms: Aut, Win, Spr, Sum | Units: 0 | Repeatable for credit
Instructors: ; Altman, R. (PI); Barron, A. (PI); Block, S. (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); Chu, G. (PI); Cochran, J. (PI); Cui, B. (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); 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); Jardetzky, T. (PI); Khosla, C. (PI); Kim, P. (PI); Kobilka, B. (PI); Kool, E. (PI); Kopito, R. (PI); Kornberg, R. (PI); Levin, C. (PI); Levitt, M. (PI); Lewis, R. (PI); Liphardt, J. (PI); Long, S. (PI); Maduke, M. (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); Salzman, J. (PI); Schnitzer, M. (PI); Skotheim, J. (PI); Smith, S. (PI); Solomon, E. (PI); Spakowitz, A. (PI); Spudich, J. (PI); Tang, S. (PI); Theriot, J. (PI); Wandless, T. (PI); Weis, W. (PI); Zare, R. (PI); de la Zerda, A. (PI); Frank, D. (GP); Habebo, T. (GP); Mesa, J. (GP)

BIOPHYS 802: TGR Dissertation

Terms: Aut, Win, Spr, Sum | Units: 0 | Repeatable for credit
Instructors: ; Altman, R. (PI); Barron, A. (PI); Block, S. (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); Chu, G. (PI); Cochran, J. (PI); Cui, B. (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); 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); Jardetzky, T. (PI); Khosla, C. (PI); Kim, P. (PI); Kobilka, B. (PI); Kool, E. (PI); Kopito, R. (PI); Kornberg, R. (PI); Levin, C. (PI); Levitt, M. (PI); Lewis, R. (PI); Liphardt, J. (PI); Long, S. (PI); Maduke, M. (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); Salzman, J. (PI); Schnitzer, M. (PI); Skotheim, J. (PI); Smith, S. (PI); Solomon, E. (PI); Spakowitz, A. (PI); Spudich, J. (PI); Tang, S. (PI); Theriot, J. (PI); Wandless, T. (PI); Weis, W. (PI); Zare, R. (PI); de la Zerda, A. (PI); Frank, D. (GP); Habebo, T. (GP); Mesa, J. (GP)

BIOPHYS 228: Computational Structural Biology (SBIO 228)

Interatomic forces and interactions such as electrostatics and hydrophobicity, and protein structure in terms of amino acid properties, local chain conformation, secondary structure, domains, and families of folds. How protein motion can be simulated. Bioinformatics introduced in terms of methods that compare proteins via their amino acid sequences and their three-dimensional structures. Structure prediction via simple comparative modeling. How to detect and model remote homologues. Predicting the structure of a protein from knowledge of its amino acid sequence. Via Internet.
| Units: 3
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