Difference between revisions of "Protein Folding & Discovery"
| Line 8: | Line 8: | ||
[http://www.google.com/search?q=AlphaFold+Deepmind+Architecture+Artificial+deep+machine+learning+ML ...Google search] | [http://www.google.com/search?q=AlphaFold+Deepmind+Architecture+Artificial+deep+machine+learning+ML ...Google search] | ||
| + | * [[Case Studies]] | ||
| + | ** [[Healthcare]] | ||
| + | *** [[Pharmaceuticals]] | ||
| + | *** [[Drug Discovery]] | ||
| + | ** [[Bioinformatics]] | ||
| + | * [[COVID-19]] | ||
* [[Service Capabilities]] | * [[Service Capabilities]] | ||
* [[Evolutionary Computation / Genetic Algorithms]] | * [[Evolutionary Computation / Genetic Algorithms]] | ||
* [[Architectures]] | * [[Architectures]] | ||
| + | * [[(Deep) Residual Network (DRN) - ResNet]] | ||
Revision as of 23:22, 25 July 2020
Youtube search... ...Google search
- Case Studies
- COVID-19
- Service Capabilities
- Evolutionary Computation / Genetic Algorithms
- Architectures
- (Deep) Residual Network (DRN) - ResNet
Google DeepMind AlphaFold
Youtube search... ...Google search
- Google DeepMind AlphaGo Zero
- Google DeepMind AlphaStar
- 13th Community Wide Experiment on the Critical Assessment of Techniques for Protein Structure Prediction
- Protein Data Bank | Wikipedia
DeepMind has brought together experts from the fields of structural biology, physics, and machine learning to apply cutting-edge techniques to predict the 3D structure of a protein based solely on its genetic sequence. AlphaFold: Using AI for scientific discovery | DeepMind
