Difference between revisions of "Protein Folding & Discovery"
Line 5: | Line 5: | ||
|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | ||
}} | }} | ||
− | [http://www.youtube.com/results?search_query= | + | [http://www.youtube.com/results?search_query=Protein+Folding+Architecture+Artificial+deep+machine+learning+M Youtube search...] |
− | [http://www.google.com/search?q= | + | [http://www.google.com/search?q=Protein+Folding+Architecture+Artificial+deep+machine+learning+ML ...Google search] |
* [[Case Studies]] | * [[Case Studies]] | ||
Line 20: | Line 20: | ||
* [[(Deep) Residual Network (DRN) - ResNet]] | * [[(Deep) Residual Network (DRN) - ResNet]] | ||
− | + | <youtube>zm-3kovWpNQ</youtube> | |
+ | <youtube>cAJQbSLlonI</youtube> | ||
+ | <youtube>z6OTR0oX3_E</youtube> | ||
= <span id="Google DeepMind AlphaFold"></span>Google DeepMind AlphaFold = | = <span id="Google DeepMind AlphaFold"></span>Google DeepMind AlphaFold = | ||
Line 34: | Line 36: | ||
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. [http://deepmind.com/blog/alphafold/ AlphaFold: Using AI for scientific discovery | DeepMind] | 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. [http://deepmind.com/blog/alphafold/ AlphaFold: Using AI for scientific discovery | DeepMind] | ||
− | |||
<youtube>xNDEXpJDO5A</youtube> | <youtube>xNDEXpJDO5A</youtube> | ||
<youtube>t2NPCgOHDc0</youtube> | <youtube>t2NPCgOHDc0</youtube> | ||
− | <youtube> | + | <youtube>cw6_OP5An8s</youtube> |
− | |||
− | |||
http://storage.googleapis.com/deepmind-live-cms/documents/Origami-CASP-181127-r01_fig3-results-anim-crop.gif | http://storage.googleapis.com/deepmind-live-cms/documents/Origami-CASP-181127-r01_fig3-results-anim-crop.gif | ||
http://storage.googleapis.com/deepmind-live-cms/images/Origami-CASP-181127-r01_fig4-method.width-1500.png | http://storage.googleapis.com/deepmind-live-cms/images/Origami-CASP-181127-r01_fig4-method.width-1500.png |
Revision as of 23:53, 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