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Classroom Contents
Kelin Xia - Persistent Function Based Machine Learning for Drug Design
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- 1 Introduction
- 2 Biomolecular data
- 3 Learning models
- 4 Curves Energy
- 5 Molecular Biomolecular Systems
- 6 Hydrogen Bonding Networks
- 7 Molecular Dynamic Simulation
- 8 Structure Breaking
- 9 Weighted homology models
- 10 Flowchart
- 11 Topologybased model
- 12 Spectral models
- 13 Prediction
- 14 Comparison
- 15 Curves
- 16 Persistent attributes
- 17 Global learning
- 18 Representation
- 19 Hybrid model
- 20 User prediction
- 21 Mathematical AI for Molecular Science
- 22 Hypergraph
- 23 Questions
- 24 Product
- 25 Density representation
- 26 Battery representation
