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: |