Openfold2 is a protein structure prediction model from the OpenFold Consortium and the Alquraishi Laboratory . The model is a PyTorch re-implementation of Google Deepmind’s AlphaFold2 , with support for both training and inference. OpenFold2 demonstrates parity accuracy with AlphaFold2, and improved speed, see the project home for more detail aqlaboratory/openfold . The NVIDIA OpenFold2 NIM can:
Predict a protein structure given an input protein sequence, and accepts optional inputs such as multiple sequence alignments and templates.
This NIM implements the ‘monomer’ version of OpenFold2, and uses the model parameter sets trained with Google Deepmind’s original jax implemenation of AlphaFold2:
