Abstract
Chemical structures provide the basis for understanding and rationalizing drug discovery process fro Human diseases. The study of interactions of chemicals with target enzymes such as HIV- protease, an AIDS enzyme, is critical for optimizing drug-discovery for AIDS. The cure for AIDS is far from a reality. For this reason, both industry and academia continue to work on developing new, more effective and cheaper drugs for AIDS. HIV Structural database (HIVSDB,
http://xpdb.nist.gov/hivsdb/hivsdb.html) is one of the largest structural resources for AIDS. Most of the current Web technologies are suited for text based data. For this reason, there is an urgent need for the development of tools and techniques for storing, annotating, querying, and displaying structural data on the Web. This article will focus on the use of Chemical taxonomies and Semantic Web concepts for developing structural database for AIDS research. Full details of the method will be presented at the meeting.