| 1: Course Overview and Introduction to Protein Structure |
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| 2: Sequence-Sequence Alignment Methods |
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Intro to Linux:  |
| 3: Sequence Based Secondary Structure Prediction |
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| 4: Protein Family Classification through Hidden Markov Models |
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Sequence-sequence alignment:  Secondary structure prediction:  Homework:  |
| 5: Fold Recognition & Sequence-Structure Alignment (Threading) |
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| 6: Comparative Modelling and the Loop Closure Problem |
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Fold Recognition and Threading:  |
| 7: De-Novo Structure Prediction |
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| 8: Modeling Protein Side Chains from Rotamer Libraries |
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Comparative Modelling/Loops:  |
| 9: Protein Structure Determination from Limited Experimental Datasets |
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| 10: Protein Design |
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De Novo Structure Prediction:  |
| 10.5: Topic Overflow, Summary, First Exam Preparation |
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Rotamer Library:  |
| 11: Structure-Structure Alignment Techniques and Fold Classification |
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| 12: Protein-Protein Docking |
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| 13: Protein-Ligand Docking |
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Docking:  |
| 14: Structure-based Virtual Screening & Drug Design |
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| 15: Constitution, Configuration, & Conformation |
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Structure-Based Virtual Screening:  |
| 16: Structure Generators |
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Ligand-Based Virtual Screening:  |
| 17: Molecular Descriptors |
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| 18: QSAR, Ligand-based Virtual Screening, and Pharmacophore Mapping |
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Pharmacophore Mapping:  |