The Information Processing Scheme on Systems Biology and its Applications
Speaker:Prof. Hong Zhao
Department of Information Science
Shenzhen University
Date & Time:20 Apr 2009 (Monday) 16:00 - 17:00


This work extends from KDD into KDK, that is from single knowledge base into the integrated knowledge bases connecting the two above mentioned by acquisition and processing of micro and macro bioinformation in systems biology sense . Therefore, such as the mixture between the ?op down??of meridian sub-system as a macro systematic phenotype, and the "bottom up" of the micro blood biochemical sub-system, realizes the systems biological mutuality of human sub-system of all levels, and achieves the taking advantage and complementing among different sub-systems. The mixture also in-depth displays the human life picture with interactive and intersection background, which fulfills the social applicability of system biology with great social and economic benefits. The research will extend to unprecedented research areas of system biology, which involve tissues above cell-level, organs, biological entity and even groups.

To further explore a scientific hypothesis from the evidences above, as an opening entry point, it is possible for this research to find out the macro systematic omics about meridian system which will be correlated to the functional genomics, transcriptomics, proteomics, metabolisomics, and other omicses with more micro-reductionism sense.

This presentatinn will elaborate the formation of informatics framework for "future disease treatment by TCM?? and woundless health risk appraisal modeling etc as illustrations.


本工作以聚焦探索解决目前系统生物学研究中尚显薄弱的信息获取及处理环节中的问题为切入点,首先直接从人体整体系统表型的获取和处理出发,扩展数据库知识发现KDD(knowledge discovery in data bases )到知识库知识发现KDK(knowledge discovery in knowledge bases )即经由“top down”和其他人体错综复杂的各层次生物子系统 “bottom up”的知识交融以寻求人体各层次子系统模型之间的系统生物学综合交互性而充分实现各层次模型功能的“取长补短”,深入展示人体生命系统的立体交叉科学图景去最终实现具实际社会利益和经济效益的系统生物学社会应用。并由此而可能进入到前所未及的高于细胞层级的组织、器官、生物个体和生物群体的系统生物学研究领域。

从科学假说的实证探索出发,开启本切入点的研究方向有可能寻获到与微观还原论的功能基因组、转录组、蛋白质组、代谢组等关联对应的如宏观系统论的经络组学。 本报告并以"中医治未病"信息化体系的构建及一种渐进优化的无创型发病危险评估模型的通用建立方法及在低成本心血管病发病危险无创型评估系统中的应用等作为例证说明