PepLM-GNN

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


This work was supported by the Beijing Natural Science Foundation (No. L248013), the National Natural Science Foundation of China (No. 62473049, U22A2039), and the Zhongguancun Academy (Project No. 20240101).
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:

Ke Yan, Meijing Li, Shutao Chen, Tianyi Liu, and Bin Liu*.
PepLM-GNN: A Graph Neural Network Framework Leveraging Pre-trained Language Models for Peptide-Protein Binding Prediction. (Submitted)