Notes from lectures 3 through 25 are courtesy of Laura Proctor. Used with permission.
| LEC # | TOPICS | |
|---|---|---|
| Protein Modeling | ||
| 1 | Introduction and Protein Modeling Questions (PDF) | |
| 2 | Models of Proteins (PDF) | |
| 3 | Discrete Conformational Search ( PDF) | |
| 4 | Binding and Docking ( PDF) | |
| 5 | Molecular Dynamics Simulation ( PDF) | |
| 6 | Molecular Dynamics and Electrostatics ( PDF) | |
| 7 | Continuum Electrostatic Modeling I ( PDF) | |
| 8 | Continuum Electrostatic Modeling II ( PDF) | |
| 9 | Electrostatic Optimization and Design ( PDF) | |
| 10 | Electrostatics Modeling ( PDF 1) ( PDF 2) | |
| 11 | Statistical Mechanics ( PDF) | |
| Network Modeling | ||
| 12 | Statistical Mechanics (cont.) ( PDF) | |
| 13 | Formulating and Simulating Network Models in Biology ( PDF) | |
| 14 | Formulating Models ( PDF) | |
| 15 | Nonlinear Dynamics and Stability ( PDF) | |
| 16 | Steady-State Problems ( PDF) | |
| 17 | Parameter Fitting and Estimation ( PDF) | |
| 18 | Parameter Estimation; Robustness, Fragility, Control ( PDF) | |
| Image Modeling | ||
| 19 | 2-D and 3-D Light Microscopy; Image Reconstruction ( PDF) | |
| 20 | Deconvolution ( PDF) | |
| 21 | Deconvolution II ( PDF) | |
| 22 | Blind Deconvolution ( PDF) | |
| 23 | Optical Flow ( PDF) | |
| 24 | High-Throughput Data and its Analysis ( PDF) | |
| 25 | Inference and Statistics ( PDF) | |
| 26 | Roundup | |
Supplemental Notes
Adjoint Sensitivity Analysis for Optimization (PDF) (Courtesy of Joshua Apgar and Jared Toettcher. Used with permission.)

