Can an in silico drug-target search method be used to probe potential mechanisms of medicinal plant ingredients?

被引:60
作者
Chen, X [1 ]
Ung, CY [1 ]
Chen, YZ [1 ]
机构
[1] Natl Univ Singapore, Dept Computat Sci, Singapore 117543, Singapore
关键词
BREAST-CANCER CELLS; PROTEIN-KINASE-C; SPONTANEOUSLY HYPERTENSIVE RATS; TRADITIONAL CHINESE MEDICINE; DIALLYL DISULPHIDE-OXIDE; CYCLIN-DEPENDENT KINASES; FLEXIBLE LIGAND DOCKING; GREEN TEA CATECHINS; NATURAL-PRODUCTS; GENE-EXPRESSION;
D O I
10.1039/b303745b
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Medicinal plants have been explored therapeutically in traditional medicines and are a valuable source for drug discovery. Insufficient knowledge about the molecular mechanism of these medicinal plants limits the scope of their application and hinders the effort to design new drugs using the therapeutic principles of herbal medicines. This problem can be partially alleviated if efficient methods for rapid identification of protein targets of herbal ingredients can be introduced. Efforts have been directed at developing efficient computer methods for facilitating target identification. Various methods being explored or under investigation are reviewed here. So far, one computer method, INVDOCK, has been specifically used for automated drug target identification. Its usefulness in the identification of therapeutic targets of medicinal herbal ingredients as well as synthetic chemicals is reviewed. The majority of INVDOCK identified therapeutic targets of several well-known medicinal herbal ingredients have been found to be confirmed or implicated by experiments, which suggests the potential of in silica methods in facilitating the study of molecular mechanism of medicinal plants.
引用
收藏
页码:432 / 444
页数:13
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