Ban, Fuqiang

Artificial intelligence–enabled virtual screening of ultra-large chemical libraries with deep docking

Gentile, F., Yaacoub, J. C., Gleave, J., Fernandez, M., Ton, A.-T., Ban, F., Stern, A., & Cherkasov, A. (2022) · Nature Protocols

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 397

Best Practices of Computer-Aided Drug Discovery: Lessons Learned from the Development of a Preclinical Candidate for Prostate Cancer with a New Mechanism of Action

Ban, F., Dalal, K., Li, H., LeBlanc, E., Rennie, P. S., & Cherkasov, A. (2017) · Journal of Chemical Information and Modeling

Computational Drug Discovery MethodsProtein Degradation and Inhibitors

Cited by 109

An updated steroid benchmark set and its application in the discovery of novel nanomolar ligands of sex hormone-binding globulin

Cherkasov, A., Ban, F., Santos-Filho, O., Thorsteinson, N., Fallahi, M., & Hammond, G. L. (2008) · Journal of Medicinal Chemistry

Computational Drug Discovery MethodsProtein Interaction Studies and Fluorescence Analysis

Cited by 42

Interleukin-10 and Small Molecule SHIP1 Allosteric Regulators Trigger Anti-inflammatory Effects through SHIP1/STAT3 Complexes

Chamberlain, T. C., Cheung, S. T., Yoon, J. S. J., Ming-Lum, A., Gardill, B. R., Shakibakho, S., Dzananovic, E., Ban, F., Samiea, A., Jawanda, K., et al. (2020) · iScience

Cytokine Signaling Pathways and InteractionsProtein Tyrosine Phosphatases

Cited by 32

Development of VPC-70619, a Small-Molecule N-Myc Inhibitor as a Potential Therapy for Neuroendocrine Prostate Cancer

Ton, A.-T., Foo, J., Singh, K., Lee, J., Kalyta, A., Morin, H., Perez, C., Ban, F., Leblanc, E., Lallous, N., et al. (2022) · International Journal of Molecular Sciences

Prostate Cancer Treatment and ResearchComputational Drug Discovery Methods

Cited by 17