Construction Of Neural Bioinformation Secondary Database

21st century is the century of life science. Bioinformatics has gotten unprecedented development in recent years and has become the foreland and hotspot of the study of life science. Along with the rapid research on neural molecular biology, the collection and coordination of high-throughout data about neural system relative proteins and genes are necessary.Firstly, a method of building bioinformation secondary databases more automatically is proposed. Agent programs are used to retrieve data from Internet biological databases. Therefore, information can be collected and updated automatically in secondary databases. Besides, XML is adopted as the standard format for nucleotide and protein sequence data description and exchange. The required Web data are restored in XML, which can be parsed and submitted into the secondary database, and transformed into HTML due to publishing conveniently. Thus semantic analysis is simplified and data integrity is guaranteed. This method can help secondary database developers to collect the data rapidly that are really needed from magnanimous sources, use these data in a flexible way, thus pay more attention to more pure bioinformation processing.Through this method, a great deal of data about proteins and genes concerning neural system functions and activities are collected and arranged to build a brief and specialized Neural Bioinformation Secondary Database, which consists of 12 tables, includes sequences of proteins and nucleic acids, structures of proteins and familiar abbreviations about neural molecular biology. This system is established on the high performance cluster system of LangChao TS10000 and Oracle 9i. JSP, JavaBeans and relative technology are used to develop all kinds of applications and data are shared on Internet.The establishment of the Neural Bioinformation Secondary Database provides an excellent research platform of neural molecular biology research and further sets up the foundation of the following bioinformation research such as the visualization of neural system relative genome data.