title: Data mining for chinese materia medica and pharmacological research.
abstract: Chinese materia medica (CMM) is becoming increasingly important in modern health care, with the potential for new or improved clinical protocols and reduction in treatment costs. Conventional approaches to drug discovery are based on knowledge of biological systems and screen phenotypes in the context of a whole organism. It will be valuable to identify the CMM that would induce certain biological responses (such as angiogenesis). The authors have developed a database that they plan to commercialize that contains traditional knowledge of Chinese medicine and pharmacology along with their own experimental data from controlled scientific observations by using the zebrafish as a model of CMM-induced pathology. The database is visualized and functions via the World Wide Web by subscription or license. The authors have also written software for personal digital assistant (PDA) devices that supports multiple users performing screening experiments worldwide. This provides a platform for the study of CMM, and data mining of this resource will help evaluate CMM in the context of experimental observations of biological aberrations.
authors.affiliation: Department of Biology and Chemistry, City University of Hong Kong, Hong Kong. bhcheng@cityu.edu.hk
authors.forename: Ho Yan Gloria
authors.initials: HY
authors.lastname: Tse
authors.forename: Vincent Wai Tsun
authors.initials: VW
authors.lastname: Li
authors.forename: Michelle N Y
authors.initials: MN
authors.lastname: Hui
authors.forename: Po
authors.initials: P
authors.lastname: Kwok Chan
authors.forename: Shuk
authors.initials: S
authors.lastname: Han Cheng
mesh_terms: D000818:Animals; D016208:Databases, Factual; D004365:Drugs, Chinese Herbal / Q000494:pharmacology*; D020407:Internet; D008419:Materia Medica; D012984:Software; D015027:Zebrafish
chemical_list: D004365:Drugs, Chinese Herbal; D008419:Materia Medica