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bioinformatics techniques in image analysis
How can structural information contribute to the design of drugs, proteins, or perhaps even cells? 
• Reducing image noise 
 
• Sharpening images 
 
• Image description and classification 
 
• Practical image processing tips 
 
 computational methods for studying spatial organization of cells, including computational analysis of optical microscopy images and video, and simulations at the cellular scale.
- Package deal
- Presentation
- • 36 pages •
How can structural information contribute to the design of drugs, proteins, or perhaps even cells? 
• Reducing image noise 
 
• Sharpening images 
 
• Image description and classification 
 
• Practical image processing tips 
 
 computational methods for studying spatial organization of cells, including computational analysis of optical microscopy images and video, and simulations at the cellular scale.
Fourier transforms and convolution
Computation can contribute to addressing such questions in at least two distinct ways. First, computational analysis is required to extract useful information from experimental measurements. Second, one can use computational techniques to predict structures, dynamics, and important biochemical properties.
- Package deal
- Summary
- • 39 pages •
Computation can contribute to addressing such questions in at least two distinct ways. First, computational analysis is required to extract useful information from experimental measurements. Second, one can use computational techniques to predict structures, dynamics, and important biochemical properties.
lec 4 molecular dynamic and simulation
Molecular Dynamics Simulation for All 
Molecular mechanism of biased signaling in a prototypical G protein–coupled receptor 
Boltzmann generators: Sampling equilibrium states of many-body systems with deep learning
- Class notes
- • 40 pages •
Molecular Dynamics Simulation for All 
Molecular mechanism of biased signaling in a prototypical G protein–coupled receptor 
Boltzmann generators: Sampling equilibrium states of many-body systems with deep learning
modelling and simulation of proteins
atomic-level molecular modeling methods for proteins and other biomolecules, including structure prediction, molecular dynamics simulation, docking, and protein design, (2) computational methods involved in solving molecular structures by x-ray crystallography and cryo-electron microscopy,
- Class notes
- • 37 pages •
atomic-level molecular modeling methods for proteins and other biomolecules, including structure prediction, molecular dynamics simulation, docking, and protein design, (2) computational methods involved in solving molecular structures by x-ray crystallography and cryo-electron microscopy,