HPInet
HPInet is a specialized bioinformatics tool designed to predict interactions between secreted proteins from Gram-negative bacteria and host proteins, along with identifying specific binding sites. This tool leverages advanced machine learning algorithms and sequence analysis techniques to analyze bacterial effector proteins and their potential targets in the host, aiding in understanding pathogen-host interactions. By pinpointing key binding sites, HPInet provides critical insights into the mechanisms of bacterial infections, offering valuable support for research in antimicrobial resistance, drug design, and host-pathogen biology.
Contact
Ming Chen's lab,
College of Life Sciences, Zhejiang University,
Hangzhou, Zhejiang 310058, China
Citation
Hu, Y., Liu, L., Zhu, Y., ... & Chen, M. (2025). HPInet: Interpretable prediction of Host-Pathogen protein-protein Interactions using a transformer-based neural network. xxx.
DOI: xxx