Protein Representation Learning with Sequence Information Embedding: Does it Always Lead to a Better Performance?

🚀 Introduction (Venus-ProtLOCA/ ProtLOCA)

Using structure information only for protein homology detection.

📑 Results

News

• [2024.08.22] Congratulations! Our paper was accepted at IEEE International Conference on Bioinformatics and Biomedicine 2024 (IEEE BIBM 2024)!

Paper Results

🛫 Requirement

Please make sure you have installed Anaconda3 or Miniconda3.

conda env create -f environment.yaml
conda activate protloca

🧬 Start with ProtLOCA

Train from scratch

Script example can be found at script/.

🙌 Citation

Please cite our work if you have used our code or data. We are pleased to see improvements in the subsequent work.

@inproceedings{tan2024protloca,
  title={Protein representation learning with sequence information embedding: Does it always lead to a better performance?},
  author={Tan, Yang and Zheng, Lirong and Zhong, Bozitao and Hong, Liang and Zhou, Bingxin},
  booktitle={2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
  pages={233--239},
  year={2024},
  organization={IEEE}
}