Sheng Ding

The paper benchmarks model scaling in AI-driven drug discovery, finding that compact models often outperform larger ones across various molecular property and activity prediction tasks.

This paper identifies a drug combination that irreversibly senesces drug-tolerant persister cells, preventing tumor relapse in melanoma models.

This study identifies reinforced cell identity as a driver of cancer development and demonstrates a drug targeting this identity in AML.

The paper shows that phosphorylated CTCF binds the SIRT1 promoter under oxidative stress, activating a cardioprotective transcriptional program in cardiomyocytes.

The paper identifies DNA base-excision repair as a mechanism that amplifies transcriptional noise, enhancing cellular plasticity and reprogramming efficiency.