生物信息学发展与中草药研究

立足于利用其他学科的思路与工具促进中草药研究，根据生物信息学及相关领域近几年的研究，就DNA测序、基因预测、亲缘及变异与功能、蛋白质结构预测、生物芯片技术、基因多样性、生物安全、活性成分的药靶和预测活性成分结构、代谢过程的模拟、能量中草药药理等方面展开阐述。描述了中草药资源与药理研究的一些可能趋势，其中药靶与活性成分结构预测、代谢模拟和药理的能量观点是中草药研究尤其值得探索的新内容。

Relationship between development of bioinformatics and study of Chinese herbal medicine

Based on the bioinformatics and some frontier science for recent years, the new ideas and methods were used to improve the study of Chinese herbal medicine. Advances in DNA sequencing, prediction of gene, evolution and mutation, prediction of protein structure, biological chip technique, drug target and prediction of drug structure, simulation of metabolism, and the distribution of energy in pharmacological process showed the prospect of the study of Chinese medicinal plants. Some new areas about sources and pharmacology of Chinese herbal medicine are coming into being, especially the relationship between drug targets and drug structure, between simulation of metabolism and pharmacology, and between energy and pharmacology.