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Predicting mTOR Inhibitors with a Classifier Using Recursive Partitioning and Naïve Bayesian Approaches
BACKGROUND: Mammalian target of rapamycin (mTOR) is a central controller of cell growth, proliferation, metabolism, and angiogenesis. Thus, there is a great deal of interest in developing clinical drugs based on mTOR. In this paper, in silico models based on multi-scaffolds were developed to predict...
Autores principales: | Wang, Ling, Chen, Lei, Liu, Zhihong, Zheng, Minghao, Gu, Qiong, Xu, Jun |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4018356/ https://www.ncbi.nlm.nih.gov/pubmed/24819222 http://dx.doi.org/10.1371/journal.pone.0095221 |
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