Jiangning Song

This paper introduces scpDeconv, a deep learning method for deconvolving cell type mixtures in proteomic data, showing improved performance across species and technologies.

The paper introduces ERTransformer, a large language model that generates T-cell receptors with desired epitope-binding properties, showing high functional similarity to natural TCRs.

The paper develops a deep learning model to predict protein degradation by proteases and UVR/ROS in human skin, validated against experimental data and integrated into a web tool for proteome susceptibility analysis.

PCfun annotates protein complex function using natural language processing and machine learning, integrating word embeddings from PubMed Central articles with supervised and unsupervised methods.

PRISMOID is a 3D structure database for post-translational modifications and mutations, providing structural and functional insights into PTM sites and their interactions.