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This subject describes and illustrates computational approaches to solving problems in systems biology.
0
2
English
English [CC]
FREE
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Description
A series of case-studies will be explored that demonstrate how an effective match between the statement of a biological problem and the selection of an appropriate algorithm or computational technique can lead to fundamental advances. The subject will cover several discrete and numerical algorithms used in simulation, feature extraction, and optimization for molecular, network, and systems models in biology.
Course content
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- Introduction and Protein Modeling Questions Unlimited
- Models of Proteins Unlimited
- Discrete Conformational Search Unlimited
- Binding and Docking Unlimited
- Molecular Dynamics Simulation Unlimited
- Molecular Dynamics and Electrostatics Unlimited
- Continuum Electrostatic Modeling I Unlimited
- Continuum Electrostatic Modeling II Unlimited
- Electrostatic Optimization and Design Unlimited
- Electrostatics Modeling Unlimited
- Statistical Mechanics Unlimited
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- Statistical Mechanics (cont.) Unlimited
- Formulating and Simulating Network Models in Biology Unlimited
- Formulating Models Unlimited
- Nonlinear Dynamics and Stability Unlimited
- Steady-State Problems Unlimited
- Parameter Fitting and Estimation Unlimited
- Parameter Estimation; Robustness, Fragility, Control Unlimited
- 2-D and 3-D Light Microscopy; Image Reconstruction Unlimited
- Deconvolution Unlimited
- Deconvolution II Unlimited
- Blind Deconvolution Unlimited
- Optical Flow Unlimited
- High-Throughput Data and its Analysis Unlimited
- Inference and Statistics Unlimited
Instructor
Massachusetts Institute of Technology
5
5
1
1916
1520
