海量生物信息获取和计算机技术的发展使得系统生物学的湿干研究模式成为可能, 干性的计算机模拟和模型研究一般基于海量的生物学实验数据如基因组、蛋白质组和代谢组的湿性研究, 希望能获得高于每一单一数据的生物学知识和系统模型, 并能指导新的实验研究。从而形成循环上升的计算机模拟和实验相结合的系统生物学湿干研究模式, 大大提升了系统生物学研究生物复杂巨系统的能力和效率。一直以来, 传统中医药学的研究以临床诊疗实践为核心, 对临床诊疗经验的总结、归纳、提升和再运用, 形成了中医药理论发展和研究的主要成功模式。如何利用现代信息和计算机科学技术, 依据海量临床信息, 在计算机辅助下进行基于数据的干性模拟研究, 革命性的提升传统中医学“从临床中来”再回“到临床中去”的能力和效率, 这是关乎中医药学发展的重大科技问题。本文对中医临床湿干研究模式的思路进行了探讨, 提出基于数字化手段的中医临床科研一体化体系, 并着重分析实现中医临床科研一体化的湿干研究模式技术框架和初步研究实践。

The technological advancement of mass biological data acquisition and computer has made the systems biology based wet-dry cyclemodel a feasible approach. Both simulating and modeling part of the dry stage expect a novel biological knowledge and systematic model built on the original data, combining the strength of genomics, proteomics and metabolomics. The wet-dry cycle works to create a new approach for systems biology, which integrates both computer modeling and modern biological experiments. Clinical research has long been the core of TCM development. In this context, summarizing, enhancing, and expanding researchers' own clinical experience makes a popular approach for the theoretical study of TCM. As a matter of fact, personal medical experience and thoughts have to be processed through human brain, which is limited in both storage and processing capability. On the contrary, computer and information technology is able to handle an immense volume of clinical data. This paper discusses the wet- dry cycle for the clinical research of TCM. Based on an array of information approaches, authors have designed a full range wet- dry frame work combining clinical research and daily tasks, in an effort to enhance both clinical operation and research capabilities. The paper also presents the preliminary results derived from the wet- dry cycle systems and methods.

北京市科委重大计划项目(H020920010031): 中医药防治重大疾病个体诊疗评价体系得研究, 负责人: 刘保延;国家973 项目( 2006CB504600 )中医辨证论治疗效评价方法基础理论研究, 负责人: 刘保延; 国家博士后科学基金项目(2005037106) , 负责人:周雪忠。