This is the implement of "PLMSearch: Protein language model powers accurate and fast sequence search for remote homology". By using a protein language model, PLMSearch can achieve a sensitivity close to SOAT structure search methods while being versatile and fast because it is only based on sequences.

• Webserver
• Requirements
• Data preparation
• Reproduce all our experiments with only one file
• Run PLMSearch locally
• Citation

PLMSearch web server : dmiip.sjtu.edu.cn/PLMSearch 🚀

PLMAlign web server : dmiip.sjtu.edu.cn/PLMAlign ✈️

PLMAlign source code : github.com/maovshao/PLMAlign 🚁

Follow the steps in requirements.sh

We have released our experiment data in plmsearch_data.

# Include experiment data, PLMSearch model, ESM-1b model, etc.
wget https://dmiip.sjtu.edu.cn/PLMSearch/static/download/plmsearch_data.tar.gz
tar zxvf plmsearch_data.tar.gz

• Reproduce all our experiments with good visualization by following the steps in main.ipynb

Notice: Detailed results are saved in scientist_figures/.

• Run PLMSearch locally by following the example in pipeline.ipynb

Notice: the inputs and outputs of the example are saved in example/.

Liu, W., Wang, Z., You, R. et al. PLMSearch: Protein language model powers accurate and fast sequence search for remote homology. Nat Commun 15, 2775 (2024). https://doi.org/10.1038/s41467-024-46808-5