Supplementary materials for "Improving diffusion-based protein backbone generation with global-geometry-aware latent encoding"

Info

This dataset contains the supplementary materials for  "Improving diffusion-based protein backbone generation with global-geometry-aware latent encoding". 

For source code and detailed instructions on usage, please refer to our github .

Supplementary data

weights.tar.gz

The trained model weights used in the paper.

dataset.zip

CATH-60 Dataset used in the paper. In the notebook directory of our github , we provide an example on encoding and visualize it with our trained encoder.

design.zip

The 21 novel mainly-beta designs selected for experiment validation. Along with the generated backbone, we also provide the prediction results from AlphaFold and ESMFold.

benchmark_sample.zip

Sampled backbones used for all benchmark experiment (All methods and variants included).

evaluation.tar.gz

Precomputed CATH reference data for coverage metric computation. Need to be downloaded for using evaluation scripts.