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Deep Learning has demonstrated its great use in many fields, among which AlphaFold has been developed to predict 3-D protein structures from the protein sequence. AlphaFold has greatly improved the accuracy of structure prediction by incorporating novel neural network architectures, named Evoformer, and training procedures based on the evolutionary, physical and geometric constraints of protein structures. 

​Below is an example of how AlphaFold has helped scientists reveal the 3-D structure of disease resistance protein At1g58602.
Let's explore the 3D structure on your own with simple mouse click and drag!
Ffar2 - Free fatty acid receptor 2 - Rattus norvegicus (Rat) - Ffar2 gene & protein

Picture
Use Settings / Controls Info for auto spin and more !
Left click on protein to zoom
​Left click background to return

AlphaFold database is available for academic and commercial use, under a CC-BY-4.0 license.

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