Artem Cherkasov

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 23

Top Topics

Molecular Docking

Radical Prostatectomy

Top Venues

Journal of chemical information and modeling

Chemical science

Journal of medicinal chemistry

Nature communications

This page only lists publications with an associated author ORCID identifier.

Publications

Hazem Mslati, Francesco Gentile, Mohit Pandey, Fuqiang Ban, Artem Cherkasov
PROTACable Is an Integrative Computational Pipeline of 3-D Modeling and Deep Learning To Automate the De Novo Design of PROTACs. Journal of chemical information and modeling 64 (8) (2024)
Hazem Mslati, Francesco Gentile, Mohit Pandey, Fuqiang Ban, Artem Cherkasov
PROTACable Is an Integrative Computational Pipeline of 3-D Modeling and Deep Learning To Automate the De Novo Design of PROTACs. Journal of chemical information and modeling 64 (8) (2024)
Marielle Rath, James Wellnitz, Holli-Joi Sullivan, Cleber Melo-Filho, Joshua E Hochuli, Guilherme Martins Silva, Jon-Michael Beasley, Maxfield Travis, Zoe L Sessions, Konstantin I Popov, Alexey V Zakharov, Artem Cherkasov, Vinicius Alves, Eugene N Muratov, Alexander Trospsha
Pharmacokinetics Profiler (PhaKinPro): Model Development, Validation, and Implementation as a Web Tool for Triaging Compounds with Undesired Pharmacokinetics Profiles. Journal of medicinal chemistry (2024)
Hazem Mslati, Francesco Gentile, Mohit Pandey, Fuqiang Ban, Artem Cherkasov
PROTACable Is an Integrative Computational Pipeline of 3-D Modeling and Deep Learning To Automate the De Novo Design of PROTACs. Journal of chemical information and modeling 64 (8) (2024)
Evgeny Gutkin, Filipp Gusev, Francesco Gentile, Fuqiang Ban, S Benjamin Koby, Chamali Narangoda, Oleksandr Isaev, Artem Cherkasov, Maria G Kurnikova
In silico screening of LRRK2 WDR domain inhibitors using deep docking and free energy simulations. Chemical science 15 (23) (2024)
Evgeny Gutkin, Filipp Gusev, Francesco Gentile, Fuqiang Ban, S Benjamin Koby, Chamali Narangoda, Oleksandr Isaev, Artem Cherkasov, Maria G Kurnikova
In silico screening of LRRK2 WDR domain inhibitors using deep docking and free energy simulations. Chemical science 15 (23) (2024)
Hazem Mslati, Francesco Gentile, Mohit Pandey, Fuqiang Ban, Artem Cherkasov
PROTACable Is an Integrative Computational Pipeline of 3-D Modeling and Deep Learning To Automate the De Novo Design of PROTACs. Journal of chemical information and modeling 64 (8) (2024)
Hazem Mslati, Francesco Gentile, Mohit Pandey, Fuqiang Ban, Artem Cherkasov
PROTACable Is an Integrative Computational Pipeline of 3-D Modeling and Deep Learning To Automate the De Novo Design of PROTACs. Journal of chemical information and modeling 64 (8) (2024)
Hazem Mslati, Francesco Gentile, Mohit Pandey, Fuqiang Ban, Artem Cherkasov
PROTACable Is an Integrative Computational Pipeline of 3-D Modeling and Deep Learning To Automate the De Novo Design of PROTACs. Journal of chemical information and modeling (2024)
Marielle Rath, James Wellnitz, Holli-Joi Sullivan, Cleber Melo-Filho, Joshua E Hochuli, Guilherme Martins Silva, Jon-Michael Beasley, Maxfield Travis, Zoe L Sessions, Konstantin I Popov, Alexey V Zakharov, Artem Cherkasov, Vinicius Alves, Eugene N Muratov, Alexander Trospsha
Pharmacokinetics Profiler (PhaKinPro): Model Development, Validation, and Implementation as a Web Tool for Triaging Compounds with Undesired Pharmacokinetics Profiles. Journal of medicinal chemistry 67 (8) (2024)
Alexander Trospsha, Olexandr Isayev, Alexander Varnek, Gisbert Schneider, Artem Cherkasov
Integrating QSAR modelling and deep learning in drug discovery: the emergence of deep QSAR. Nature reviews. Drug discovery (2023)
Olivia 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
Large-Scale Virtual Screening for the Discovery of SARS-CoV-2 Papain-like Protease (PLpro) Non-covalent Inhibitors. Journal of chemical information and modeling (2023)
Artem Cherkasov
The 'Big Bang' of the chemical universe. Nature chemical biology (2023)
Jaeyong Lee, Calem Kenward, Liam J Worrall, Marija Vuckovic, Francesco Gentile, Anh-Tien Ton, Myles Ng, Artem Cherkasov, Natalie C J Strynadka, Mark Paetzel
X-ray crystallographic characterization of the SARS-CoV-2 main protease polyprotein cleavage sites essential for viral processing and maturation. Nature communications 13 (1) (2022)
Hazem Mslati, Francesco Gentile, Carl Perez, Artem Cherkasov
Comprehensive Consensus Analysis of SARS-CoV-2 Drug Repurposing Campaigns. Journal of chemical information and modeling 61 (8) (2021)
Francesco Gentile, Michael Fernandez, Fuqiang Ban, Anh-Tien Ton, Hazem Mslati, Carl F Perez, Eric Leblanc, Jean Charle Yaacoub, James Gleave, Abraham Stern, Bill Wong, François Jean, Natalie Strynadka, Artem Cherkasov
Automated discovery of noncovalent inhibitors of SARS-CoV-2 main protease by consensus Deep Docking of 40 billion small molecules. Chemical science 12 (48) (2021)
Eric Leblanc, Fuqiang Ban, Ayse Derya Cavga, Sam Lawn, Chia-Chi Flora Huang, Sankar Mohan, Matthew E K Chang, Mark R Flory, Fariba Ghaidi, Shreyas Lingadahalli, Gang Chen, Ivan Pak Lok Yu, Hélène Morin, Nada Lallous, Martin E Gleave, Hisham Mohammed, Robert N Young, Paul S Rennie, Nathan A Lack, Artem Cherkasov
Development of 2-(5,6,7-Trifluoro-1H-Indol-3-yl)-quinoline-5-carboxamide as a Potent, Selective, and Orally Available Inhibitor of Human Androgen Receptor Targeting Its Binding Function-3 for the Treatment of Castration-Resistant Prostate Cancer. Journal of medicinal chemistry 64 (20) (2021)
Mariia Radaeva, Xuesen Dong, Artem Cherkasov
The Use of Methods of Computer-Aided Drug Discovery in the Development of Topoisomerase II Inhibitors: Applications and Future Directions. Journal of chemical information and modeling 60 (8) (2020)
Jaeyong Lee, Liam J Worrall, Marija Vuckovic, Federico I Rosell, Francesco Gentile, Anh-Tien Ton, Nathanael A Caveney, Fuqiang Ban, Artem Cherkasov, Mark Paetzel, Natalie C J Strynadka
Crystallographic structure of wild-type SARS-CoV-2 main protease acyl-enzyme intermediate with physiological C-terminal autoprocessing site. Nature communications 11 (1) (2020)
Michael Fernandez, Fuqiang Ban, Godwin Woo, Oleksandr Isaev, Carl Perez, Valery V Fokin, Alexander Trospsha, Artem Cherkasov
Quantitative Structure-Price Relationship (QS$R) Modeling and the Development of Economically Feasible Drug Discovery Projects. Journal of chemical information and modeling 59 (4) (2019)
Michael Fernandez, Fuqiang Ban, Godwin Woo, Michael Hsing, Takeshi Yamazaki, Eric LeBlanc, Paul S Rennie, William J Welch, Artem Cherkasov
Toxic Colors: The Use of Deep Learning for Predicting Toxicity of Compounds Merely from Their Graphic Images. Journal of chemical information and modeling 58 (8) (2018)
Fuqiang Ban, Kush Dalal, Huifang Li, Eric LeBlanc, Paul S Rennie, Artem Cherkasov
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. Journal of chemical information and modeling 57 (5) (2017)
Yunrui Cai, Huajian Zhu, Zaccary Alperstein, Wenjun Yu, Artem Cherkasov, Hong-Bin Zou
Strictosidine Synthase Triggered Enantioselective Synthesis of N-Substituted (S)-3,14,18,19-Tetrahydroangustines as Novel Topoisomerase I Inhibitors. ACS chemical biology 12 (12) (2017)