Vabs-Net: Pre-Training Protein Bi-level Representation Through Span Mask Strategy On 3D Protein Chains
The repository is an official implementation of Pre-Training Protein Bi-level Representation Through Span Mask Strategy On 3D Protein Chains
cd Vabs-Net
bash env.sh
In this paper, we also proposed a new small molecule binding site dataset, which can be found in BindingSiteDataset4VabsNet
We found a slight difference for EC and GO evaluation and updated the re-evaluated results in the arxiv version. The difference occurred because there was an issue with the calculation of the f1max.
cd Vabs-Net
bash reproduce_pretrain.sh
cd Vabs-Net
bash reproduce_finetune.sh
If you want to cite this paper:
@inproceedings{zhuangpre,
title={Pre-Training Protein Bi-level Representation Through Span Mask Strategy On 3D Protein Chains},
author={Zhuang, Wanru and Song, Jia and Li, Yaqi and Lu, Shuqi and others},
booktitle={Forty-first International Conference on Machine Learning}
}