AlphaFold2 Algorithm
AlphaFold2 Algorithm
Enter AlphaFold2
- Google’s DeepMind team Entered AlphaFold 2 in CASP14
- Achieved a median Global Distance Test Score of 92.4
- This score essentially says: How close is my predicited structure to the known structure?
AlphaFold2 Algorithm
- AlphaFold 2 works by:
- starts with a user's query protein sequence
- finding similar sequences to that query
- aligns these sequences to create a mutliple sequence alignment
- uses available structure data based on query sequence to create initial distances between residues
- uses a neural network to iteratively update the distances between residues by using information from the sequence alignment
- passes this to another neural network to determine how these residues are oriented in 3D space