Biomedical subjects

Tong Shang

Publications and source records attributed to Tong Shang.

4 recordsLinked to original sources

PubMed2005

[The application of biomed-informatics in cardiovascular research--data and knowledge].

With the development of biotechnology, especially the projects which lead to high throughout experimental results, lots of data have been jammed in every related fields, and broke the balance between data and knowledge in these fields. It is urgent to refine these data, and let them be more productive. To avoid these data being decaying into rubbish, technology and theory such as database, statistics, data mining, knowledge management, and artificial intelligence had been applied into biologic and medical study fields. So, a new standalone research subject--biomed-informatics has been formed. This paper reviewed the application of biomed-informatics in cardiovascular research, and gave the view for the future development of this subject.

Animals↗

PubMed2004

BioPD: a web-based information center for bioactive peptides.

Bioactive peptide database (BioPD) is a web-based knowledge base that contains more than 1100 protein sequences from human, mouse and rat, which are putative or are known to be bioactive peptides. In addition to peptide sequences and the annotation, the database also contains gene sequences with annotation, protein interaction and disease data related to the peptides. Each entry has as many references as possible to support the information represented. BioPD consists of six parts: PROTEIN, GENE, DISEASE, LINKS, INTERACTION, and REFERENCE. The database is searchable through keyword, gene and protein name, receptor name, etc. The links to PDB, InterPro, Pfam, OMIM, etc. are provided in each entry. Thus BioPD is formed as an information center for the bioactive peptide and serves as a gateway for exploration of bioactive peptides. The database can be accessed at http://biopd.bjmu.edu.cn.

Animals↗

PubMed2004

[Construction of directory for biomedical databases on INTERNET].

OBJECTIVE: To construct a global directory of biomedical databases(DBD), which can be used free of charge on INTERNET. It will be convenient for researchers to find out related databases quickly, easily and accurately by using DBD since there are not enough useful tools for database retrieval. Biomedical databases will be an accelerator in development of biomedicine with the help of DBD. METHODS: PubMed and Google were main tools for searching related databases. Proper search strategy with rigorous indexing rules helped us to filter databases. The database management system was Microsoft SQL-Server 2000. The web pages of DBD were designed with Macromedia Dreamwaver MX. ASP (active server pages) technology was used to deal with the key words and scores sent by users. RESULTS: There were 66 subjects and 1 258 databases in DBD at this time. We released the Chinese and English versions of DBD on the INTERNET at the same time http://cmbi.bjmu.edu.cn/DBList/index.htm http://cmbi.bjmu.edu.cn/DBList/index_en.htm . Score system was also established to evaluate the content of the indexed databases. Users can search DBD by subjects key words and alphabetic databases' names easily. CONCLUSION: DBD has laid the primary foundation for further core biomedical database evaluation system. DBD, as a useful tool for biomedical database retrieval, will be of great aid to users since databases have played a more and more important role in the biomedical research.

Databases as Topic↗

PubMed2004

Cardio: a web-based knowledge resource of genes and proteins related to cardiovascular disease.

BACKGROUND: Cardiovascular disease (CVD) is the leading killer for human. In order to understand the linkage between cardiovascular diseases and genes or proteins, it is essential to construct a database to organize the body of knowledge. While the existing molecular biological databases focus on the sequence and structural aspects of biological macromolecules, i.e. DNAs, RNAs and proteins, Cardio is the web-based system we built to provide a knowledge environment with visual interface to integrate information about major cardiovascular diseases in relation to genes and proteins. METHODS: We collected the information from the web by using a group of software we developed and used a relational database management system to manage the information of these data. RESULTS: Cardio consists of six sections: GENE, PROTEIN, DISEASE, DRUG, LINKS, and REFERENCE. Each section contains relevant information about the topic. Using a phenotype-driven approach, we can identify genetic mechanisms underlying the physiology and pathophysiology of specific cardiovascular disease, such as atherosclerosis, hypertension, heart failure, and stroke. CONCLUSION: The website titled "Database of Genes and Proteins Related to Cardiovascular Disease (Cardio)" is available at along with additional information on cardiovascular disease, supplementary materials and related figures.

Cardiovascular Diseases↗