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Paul S. Rennie

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2010 – 2019

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2018
[j4]
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  dblp key:
  - journals/jcisd/FernandezBWHYLR18
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  persistent URL:
  - https://dblp.org/rec/journals/jcisd/FernandezBWHYLR18
Michael Fernández, 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. J. Chem. Inf. Model. 58(8): 1533-1543 (2018)
2017
[j3]
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  - journals/jcisd/BanDLLRC17
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  - https://dblp.org/rec/journals/jcisd/BanDLLRC17
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. J. Chem. Inf. Model. 57(5): 1018-1028 (2017)
2016
[j2]
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  - journals/jcisd/PaulCLYGRC16
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  - https://dblp.org/rec/journals/jcisd/PaulCLYGRC16
Naman Paul, Lavinia A. Carabet, Nada Lallous, Takeshi Yamazaki, Martin E. Gleave, Paul S. Rennie, Artem Cherkasov:
Cheminformatics Modeling of Adverse Drug Responses by Clinically Relevant Mutants of Human Androgen Receptor. J. Chem. Inf. Model. 56(12): 2507-2516 (2016)
2013
[j1]
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  - journals/jcisd/LiRLFRC13
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Huifang Li, Xin Ren, Eric Leblanc, Kate Frewin, Paul S. Rennie, Artem Cherkasov:
Identification of Novel Androgen Receptor Antagonists Using Structure- and Ligand-Based Methods. J. Chem. Inf. Model. 53(1): 123-130 (2013)

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