KEIPA

About


Bin Liu's lab at Beijing Institute of Technology (BIT) is focusing on developing techniques grounded in the natural language processing (NLP) to uncover the meanings of "book of life". The research areas of Bin Liu's lab include:
1) Developing the Biological language models (BLMs);
2) Studying the natural language processing techniques;
3) Applying BLMs to biological sequence analysis;
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.
For more relevant research, please see http://bliulab.net.


Acknowledgement


We sincerely thank the laboratory members, partners, and reviewers for their dedicated efforts and valuable time invested in this project. Additionally, we thank the National Natural Science Foundation of China (No. 62325202) for its support of this work.
The project referenced and used the free and open source CSS framework for UI.

Cite

Upon the usage the users are requested to use the following citation:

Shutao Chen, Ke Yan, Xiangxiang Zeng, and Bin Liu*.
Knowledge-Enhanced Interpretable Pragmatic Analysis for Uncovering Peptide-Protein Pairwise Non-Covalent Mechanisms. (Submitted)