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Classroom Contents
OpenFold - Lessons and Insights From Rebuilding and Retraining AlphaFold2
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- 1 Intro
- 2 The basic problem
- 3 A larger set of problems
- 4 Reinventing the space
- 5 Summary
- 6 Calibration
- 7 Questions
- 8 Motivations
- 9 Complex prediction
- 10 Applications
- 11 Protein Complex Prediction
- 12 Modularity
- 13 Outliers
- 14 Inverse characteristics
- 15 Decals
- 16 Convergence characteristics
- 17 Fine tuning
- 18 Selfassessment
- 19 Learning secondary structure elements
- 20 Multiscale learning
- 21 Learning spatial dimensions
- 22 Learning PCA projections
- 23 Learning PCA projections independently
- 24 How well does a model generalize
- 25 Protein fault families
- 26 Local vs global aspects
