ChemStable: a web server for rule-embedded naïve Bayesian learning approach to predict compound stability-Reference-Cited by-同舟云学术

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ChemStable: a web server for rule-embedded naïve Bayesian learning approach to predict compound stability

Published:2014-07-17 Issue:9 Volume:28 Page:941-950
ISSN:0920-654X
Container-title:Journal of Computer-Aided Molecular Design
language:en
Short-container-title:J Comput Aided Mol Des

Author:

Liu Zhihong,Zheng Minghao,Yan Xin,Gu Qiong,Gasteiger Johann,Tijhuis Johan,Maas Peter,Li Jiabo,Xu Jun

Publisher

Springer Science and Business Media LLC

Subject

Physical and Theoretical Chemistry,Computer Science Applications,Drug Discovery

Link

http://link.springer.com/content/pdf/10.1007/s10822-014-9778-3.pdf

Reference38 articles.

1. Di L, Kerns EH (2009) Stability challenges in drug discovery. Chem Biodivers 6(11):1875–1886. doi: 10.1002/cbdv.200900061

2. Blaxill Z, Holland-Crimmin S, Lifely R (2009) Stability through the ages: the GSK experience. J Biomol Screen 14(5):547–556. doi: 10.1002/cbdv.200900061

3. Cheng XH, Hochlowski J, Tang H, Hepp D, Beckner C, Kantor S, Schmitt R (2003) Studies on repository compound stability in DMSO under various conditions. J Biomol Screen 8(3):292–304. doi: 10.1177/1087057103008003007

4. Waterman KC, Adami RC, Alsante KM, Antipas AS, Arenson DR, Carrier R, Hong JY, Landis MS, Lombardo F, Shah JC, Shalaev E, Smith SW, Wang H (2002) Hydrolysis in pharmaceutical formulations. Pharm Dev Technol 7(2):113–146. doi: 10.1081/PDT-120003494

5. Waterman KC, Adami RC, Alsante KM, Hong JY, Landis MS, Lombardo F, Roberts CJ (2002) Stabilization of pharmaceuticals to oxidative degradation. Pharm Dev Technol 7(1):1–32. doi: 10.1081/PDT-120002237

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