Chemometrics-based approach to modeling quantitative composition-activity relationships for Radix Tinosporae-Reference-Cited by-同舟云学术

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Chemometrics-based approach to modeling quantitative composition-activity relationships for Radix Tinosporae

Published:2010-07-25 Issue:3 Volume:2 Page:221-227
ISSN:1913-2751
Container-title:Interdisciplinary Sciences: Computational Life Sciences
language:en
Short-container-title:Interdiscip Sci Comput Life Sci

Author:

Yan Shi-Kai,Lin Zhong-Ying,Dai Wei-Xing,Shi Qi-Rong,Liu Xiao-Hua,Jin Hui-Zi,Zhang Wei-Dong

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Computer Science Applications,General Biochemistry, Genetics and Molecular Biology

Link

http://link.springer.com/content/pdf/10.1007/s12539-010-0026-9.pdf

Reference29 articles.

1. Cheng, Y.Y., Wang, Y., Wang, X.W. 2006. A causal relationship discovery-based approach to identifying active components of herbal medicine. Comput Biol Chem 30, 148–154.

2. Daren, Z. 2001. QSPR studies of PCBs by the combination of genetic algorithms and PLS analysis. Comput Chem 25, 197–204.

3. Faber, K., Kowalski, B.R. 1996. Comment on a recent sensitivity analysis of radial base function and multilayer feed-forward neural network models. Chemom Intell Lab Syst 34, 293–297.

4. Fan, X.F., Cheng, Y.Y., Ye, Z.L., Lin, R.C., Qian, Z.Z. 2006. Multiple chromatographic fingerprinting and its application to the quality control of herbal medicines. Anal Chim Acta 555, 217–224.

5. Harvey, A. 2000. Strategies for discovering drugs from previously unexplored natural products. Drug Discov Today 5, 294–300.

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