Xiaoman Wang

This study introduces PreCSenM, a machine learning model that quantifies cellular senescence and identifies HDAC inhibitors as senescence inducers in lung adenocarcinoma.

This paper introduces a two-stage method to evaluate 3D molecule conformations generated by AI, achieving high speed and quantum mechanical accuracy.

This study identifies Snhg3 as a lncRNA that exacerbates hepatic steatosis through PPARγ signaling by modulating SND1 and chromatin remodeling in MASLD.

This paper introduces ExptGMS, a method using experimental electron density data to improve virtual screening by enhancing active compound enrichment, achieving a 20% improvement and identifying new inhibitors.

The paper introduces a 3D molecule generative model using electron density data to create drug-like molecules that match target protein pockets and active compounds.