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Using structure information only for protein homology detection (IEEE BIBM 2024).

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

🚀 Introduction (ProtLOCA)

Using structure information only for protein homology detection.

fig1

fig2

📑 Results

News

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

Paper Results

result

🛫 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.

@article{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},
  journal={arXiv preprint arXiv:2406.19755},
  year={2024}
}

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Using structure information only for protein homology detection (IEEE BIBM 2024).

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