The Evaluation of Multivariate Adaptive Regression Splines for the Prediction of Antitumor Activity of Acridinone Derivatives

Publisher： Bentham Science Publishers

E-ISSN： 1875-6638|9|8|1041-1050

ISSN： 1573-4064

Source： Medicinal Chemistry, Vol.9, Iss.8, 2013-12, pp. : 1041-1050

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Application of Artificial Neural Networks for the Prediction of Antitumor Activity of a Series of Acridinone Derivatives

By  

Medicinal Chemistry, Vol. 8, Iss. 3, 2012-05 ,pp. : 309-319

Bentham Science Publishers

Access to resources Recommend Favorite

Using multivariate adaptive regression splines to QSAR studies of dihydroartemisinin derivatives

By Nguyen-Cong V.   Van Dang G.   Rode B.  

European Journal of Medicinal Chemistry, Vol. 31, Iss. 10, 1996-01 ,pp. : 797-803

Elsevier

Access to resources Recommend Favorite

In - vitro antitumor activity evaluation of hyperforin derivatives

By Sun Feng  

Journal of Asian Natural Products Research, Vol. 13, Iss. 8, 2011-08 ,pp. : 688-699

Taylor & Francis Ltd

Access to resources Recommend Favorite

Chemometric Evaluation of the Significance of Molecular Structural Descriptors on Binding of Acridinone Derivatives to DNA

By  

Letters in Drug Design & Discovery, Vol. 7, Iss. 7, 2010-08 ,pp. : 494-499

Bentham Science Publishers

Access to resources Recommend Favorite

Synthesis and antitumor activity evaluation of a novel series of xanthone derivatives

By Guo Na   Liu Jiang   Qin Long   Jiang Du   You Xing   Lu Kui   Teng Yu-Ou   Yu Peng  

Journal of Asian Natural Products Research, Vol. 17, Iss. 4, 2015-04 ,pp. : 377-383

Taylor & Francis Ltd

Access to resources Recommend Favorite