Boming Kang

The paper introduces i-Fold, a modified AlphaFold2 model that uses residue importance scores from ESM to improve protein structure prediction accuracy.

This study shows that MNS reduces viral infection and inflammation in cell and animal models by suppressing inflammatory pathways and altering chromatin accessibility.

This paper introduces BulkFormer, a foundation model for bulk transcriptome analysis that outperforms existing models in six downstream tasks.

This paper introduces DeepAVC, a framework using pre-trained large language models to predict broad-spectrum antiviral compounds, achieving high accuracy and identifying novel compounds with experimental validation.

ProLLM uses a large language model to predict protein-protein interactions by modeling biological pathways as natural language prompts, improving accuracy and generalizability over existing methods.

The paper introduces PIC, a deep learning model for predicting human protein essentiality, outperforming existing methods and quantifying essentiality across humans, cell lines, and mice orthologues.