Fuqiang Ban - researchr alias

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Viewing Publication 1 - 8 from 8

2024

PROTACable Is an Integrative Computational Pipeline of 3-D Modeling and Deep Learning To Automate the De Novo Design of PROTACsHazem Mslati, Francesco Gentile, Mohit Pandey, Fuqiang Ban, Artem Cherkasov. jcisd, 64(8):3034-3046, 2024. [doi]

2023

Large-Scale Virtual Screening for the Discovery of SARS-CoV-2 Papain-like Protease (PLpro) Non-covalent InhibitorsOlivia Garland, Anh-Tien Ton, Shoeib Moradi, Jason R. Smith, Suzana Kovacic, Kurtis Ng, Mohit Pandey, Fuqiang Ban, Jaeyong Lee, Marija Vuckovic, Liam J. Worrall, Robert N. Young, Ralph Pantophlet, Natalie C. J. Strynadka, Artem Cherkasov. jcisd, 63(7):2158-2169, April 2023. [doi]

2019

Progressive Docking - Deep Learning Based Approach for Accelerated Virtual ScreeningVibudh Agrawal, Francesco Gentile, Michael Hsing, Fuqiang Ban, Artem Cherkasov. icann 2019: 737-740 [doi]

Quantitative Structure-Price Relationship (QS$R) Modeling and the Development of Economically Feasible Drug Discovery ProjectsMichael Fernández, Fuqiang Ban, Godwin Woo, Oleksandr Isaev, Carl Perez, Valery Fokin, Alexander Tropsha, Artem Cherkasov. jcisd, 59(4):1306-1313, 2019. [doi]

2018

Toxic Colors: The Use of Deep Learning for Predicting Toxicity of Compounds Merely from Their Graphic ImagesMichael Fernández, Fuqiang Ban, Godwin Woo, Michael Hsing, Takeshi Yamazaki, Eric Leblanc, Paul S. Rennie, William J. Welch, Artem Cherkasov. jcisd, 58(8):1533-1543, 2018. [doi]

2017

Best Practices of Computer-Aided Drug Discovery: Lessons Learned from the Development of a Preclinical Candidate for Prostate Cancer with a New Mechanism of ActionFuqiang Ban, Kush Dalal, Huifang Li, Eric Leblanc, Paul S. Rennie, Artem Cherkasov. jcisd, 57(5):1018-1028, 2017. [doi]

SimBoost: a read-across approach for predicting drug-target binding affinities using gradient boosting machinesTong He, Marten Heidemeyer, Fuqiang Ban, Artem Cherkasov, Martin Ester. jcheminf, 9(1), 2017. [doi]

2005

Modeling the Zinc Chelating Rosette NanotubeFuqiang Ban, Savariraj Kingsley, Ross Johnson, Hicham Fenniri, Andriy Kovalenko. icmens 2005: 379-382 [doi]

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