About
bliulab is focusing on developing techniques grounded in the natural language processing (NLP) to uncover the meanings of "book of life". The research areas of bliulab include:
1) Developing the Biological language models (BLMs);
2) Studying the natural language processing techniques;
3) Applying BLMs to drug discovery and precision medicine research;
4) Protein remote homology detection and fold recognition;
5) Predicting DNA/RNA/Peptide/Ligand binding proteins and their binding residues;
6) Disordered protein/region prediction based on sequence labelling models;
7) Predicting noncoding RNA-disease associations;
8) Identifying protein complexes;
9) DNA/RNA sequence analysis.
Acknowledgement
This work was supported by the National Natural Science Foundation of China (Grant Nos. U22A2039, 62372332, and 62572052), Beijing Natural Science Foundation (No. L248013), and Zhongguancun Academy (Project Nos. 02012502 and 02012410). AKS was supported by the state assignment of Lomonosov Moscow State University.
The project referenced and used the free and open source CSS framework for UI.