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Chemometrics is a new branch of chemistry which is widely applied to various fields of analytical chemistry. Chemometrics can use theories and methods of mathematics, statistics, computer science and other related disciplines to optimize the chemical measurement process and maximize access to acquire chemical information and other information on material systems by analyzing chemical measurement data. In recent years, traditional Chinese medicine has attracted widespread attention. In the research of traditional Chinese medicine, it has been a key problem that how to interpret the relationship between various chemical components and its efficacy, which seriously restricts the modernization of Chinese medicine. As chemometrics brings the multivariate analysis methods into the chemical research, it has been applied as an effective research tool in the composition-activity relationship research of Chinese medicine. This article reviews the applications of chemometrics methods in the composition-activity relationship research in recent years. The applications of multivariate statistical analysis methods (such as regression analysis, correlation analysis, principal component analysis, etc. ) and artificial neural network (such as back propagation artificial neural network, radical basis function neural network, support vector machine, etc. ) are summarized, including the brief fundamental principles, the research contents and the advantages and disadvantages. Finally, the existing main problems and prospects of its future researches are proposed.

Objective: The structure-activity relationship between traditional Chinese medicine (TCM) compounds and antibacterial activity was studied by chemoinformatics approach., Method: Cytoscape and its plug-in ChemViz were applied to compute the 2D chemical structure similarity and topological parameter TPSA (topological molecular polar surface area), which measures cell permeability of chemicals, between TCM compounds and clinical antibacterials. The overall degree of structure similarity was then calculated and represented by E-value for the eight categories of TCM compounds and the known antibacterials., Result: Our results indicated that flavonoids showed good structural similarity with antibacterials and appropriate cell permeability, compared with those of the TCM compounds of the other categories. As flavonoids were featured by good drug safety, it suggested that they can be regarded as the preferred lead compounds skeleton structure source for further antibacterials synthesis., Conclusion: The application of chemoinformatics helps explore the structure-activity relationship between TCM compounds and the antibacterial activity and search for suitable antibacterial lead compounds skeleton structure source.

In this article, 2 IHE integration profiles-RID integration profile and XDS integration profile, which are adopted widely in the applications of healthcare information exchange, are introduced and compared with each other in applicable occasions. In addition, their current developing status and prospects are give from the technical view.

This paper briefly introduces the history, definitions of some important words, working process, key concepts, connectathon testing, implementation of IHE, which can be regarded as an entry guide of IHE.

Firstly the fundamental concept and research hotspots of Brain-Neural Function Informatics (BNFI) are described. Then the main study fields and progresses of BNFI are expounded. Finally the prospects of BNFI research are given. Studies on BNFI not only promote the "Brain Science" progress, but also boost the industry of a new kind of medical instruments - function rehabilitation equipment and artificial functional prostheses.