Supplementary materials for "Improving diffusion-based protein backbone generation with global-geometry-aware latent encoding"
收藏Zenodo2025-01-27 更新2026-05-29 收录
下载链接：
https://zenodo.org/doi/10.5281/zenodo.13879812
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资源简介：
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.zip
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).
提供机构：
Zenodo
创建时间：
2024-10-04
