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Journal of Chemical Information and Modeling|February 16, 2019
Quantitative Structure-Price Relationship (QS$R) Modeling and the Development of Economically Feasible Drug Discovery ProjectsMichael Fernandez, Fuqiang Ban, Godwin Woo, et al.Molecular Informatics|May 16, 2023
Novel Inhibitors of androgen receptor's DNA binding domain identified using an ultra-large virtual screeningMariia Radaeva, Helene Morin, Mohit Pandey, et al.Journal of Medicinal Chemistry|July 16, 2014
Discovery of 1H-indole-2-carboxamides as novel inhibitors of the androgen receptor binding function 3 (BF3)Fuqiang Ban, Eric Leblanc, Huifang Li, et al.International Journal of Molecular Sciences|November 10, 2020
Dual-Inhibitors of N-Myc and AURKA as Potential Therapy for Neuroendocrine Prostate CancerAnh-Tien Ton, Kriti Singh, Hélène Morin, et al.ACS Central Science|July 2, 2020
Deep Docking: A Deep Learning Platform for Augmentation of Structure Based Drug DiscoveryFrancesco Gentile, Vibudh Agrawal, Michael Hsing, et al.International Journal of Molecular Sciences|April 3, 2021
Development of Novel Inhibitors Targeting the D-Box of the DNA Binding Domain of Androgen ReceptorMariia Radaeva, Fuqiang Ban, Fan Zhang, et al.Nature Protocols|February 5, 2022
Artificial intelligence-enabled virtual screening of ultra-large chemical libraries with deep dockingFrancesco Gentile, Jean Charle Yaacoub, James Gleave, et al.Journal of Medicinal Chemistry|July 26, 2014
Discovery of small-molecule inhibitors selectively targeting the DNA-binding domain of the human androgen receptorHuifang Li, Fuqiang Ban, Kush Dalal, et al.Chemical Science|June 14, 2024
<i>In silico</i> screening of LRRK2 WDR domain inhibitors using deep docking and free energy simulationsEvgeny Gutkin, Filipp Gusev, Francesco Gentile, et al.Journal of Chemical Information and Modeling|August 1, 2018
Toxic Colors: The Use of Deep Learning for Predicting Toxicity of Compounds Merely from Their Graphic ImagesMichael Fernandez, Fuqiang Ban, Godwin Woo, et al.Pageof 7