Shuffling multivariate adaptive regression splines as a predictive method for modeling of novel pyridylmethylthio derivatives as VEGFR2 inhibitors-Reference-Cited by-同舟云学术

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Shuffling multivariate adaptive regression splines as a predictive method for modeling of novel pyridylmethylthio derivatives as VEGFR2 inhibitors

Published:2012-10-09 Issue:6 Volume:22 Page:2645-2653
ISSN:1054-2523
Container-title:Medicinal Chemistry Research
language:en
Short-container-title:Med Chem Res

Author:

Asadollahi-Baboli M.,Mani-Varnosfaderani A.

Publisher

Springer Science and Business Media LLC

Subject

Organic Chemistry,General Pharmacology, Toxicology and Pharmaceutics

Link

http://link.springer.com/content/pdf/10.1007/s00044-012-0266-9.pdf

Reference19 articles.

1. Ahman T, Eisen T (2004) Kinase Inhibition with BAY 43–9006 in renal cell carcinoma. Clin Cancer Res 10:6388–6392

2. Cho SJ, Pasha FA, Muddassar M, Neaz MM (2009) Pharmacophore and docking-based combined in silico study of KDR inhibitors. J Mol Graph Model 28:54–61

3. Cross MJ, Holmes K, Roberts OL, Thomas AM (2007) Vascular endothelial growth factor receptor 2: structure, function, intracellular signaling and therapeutic inhibition. Cell Signal 19:2003–2012

4. Friedman JH (1991) Multivariate adaptive regression splines. Annal. Stat 19:1–141

5. Hicklin DJ, Ellis LM (2005) Role of the vascular endothelial growth factor pathway in tumor growth and angiogenesis. J Clin Oncol 23:1011–1027

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2. Therapeutic index modeling and predictive QSAR of novel thiazolidin-4-one analogs against Toxoplasma gondii;European Journal of Pharmaceutical Sciences;2015-04

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