Yang, Shengyong

Targeting epigenetic regulators for cancer therapy: mechanisms and advances in clinical trials

Cheng, Y., He, C., Wang, M., Ma, X., Mo, F., Yang, S., Han, J., & Wei, X. (2019) · Signal Transduction and Targeted Therapy

Epigenetics and DNA MethylationHistone Deacetylase Inhibitors Research

Cited by 1,097

Dopamine-loaded blood exosomes targeted to brain for better treatment of Parkinson’s disease

Qu, M., Lin, Q., Huang, L., Fu, Y., Wang, L., He, S., Fu, Y., Yang, S., Zhang, Z., Zhang, L., et al. (2018) · Journal of Controlled Release

Extracellular vesicles in diseaseNanoparticle-Based Drug Delivery

Cited by 543

SARS-CoV-2 M pro inhibitors with antiviral activity in a transgenic mouse model

Qiao, J., Li, Y.-S., Zeng, R., Liu, F.-L., Luo, R.-H., Huang, C., Wang, Y.-F., Zhang, J., Quan, B., Shen, C., et al. (2021) · Science

SARS-CoV-2 and COVID-19 ResearchCOVID-19 Clinical Research Studies

Cited by 465

PocketFlow: an autoregressive flow model incorporated with chemical knowledge for generating drug-like molecules inside protein pockets

Yang, S., Jiang, Y., Zhang, G., You, J., Zhang, H., Yao, R., Xie, H., Xia, Z., Dai, M., & Wu, Y. (2023) · Nature Machine Intelligence

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 97

PocketFlow is a data-and-knowledge-driven structure-based molecular generative model

Jiang, Y., Zhang, G., You, J., Zhang, H., Yao, R., Xie, H., Zhang, L., Xia, Z., Dai, M., Wu, Y., et al. (2024) · Nature Machine Intelligence

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 97