AlphaFold 2, developed by Google DeepMind, predicts the 3D structure of a protein from its amino acid sequence at atomic-level accuracy — a problem that had challenged structural biologists for 50 years. 

In Benchling, you can run AlphaFold 2 directly from your sequence records, submit batch jobs across hundreds of proteins, and have predicted structures written back to the experimental record automatically.

Key capabilities:

• Monomer structure prediction from sequence alone

• Per-residue confidence scoring (pLDDT) and predicted aligned error (PAE)

• Improved quality with fast and private MSA support (GPU-accelerated)

• License: Apache 2.0

Learn more about AlphaFold 2.