Database Systems for Knowledge-Based Discovery
Database Systems for Knowledge-Based Discovery
复制标题
DOI：
10.1007/978-1-60761-274-2_6
复制
发表时间：
2009-01-01
期刊：
影响因子：
--
通讯作者：
Kishan, K. V. Radha
中科院分区：
文献类型：
--
作者：
Jagarlapudi, Sarma A. R. P.;Kishan, K. V. Radha
已经开发了几个数据库系统，以结构化的格式提供从实验室化学家到生物学家，从医学从业者到药学家的有价值的信息。信息技术和计算能力的出现增强了以数据库的形式访问大量数据的能力，人们可以在数据库中进行编辑，搜索，存档，分析，最后是知识推导。虽然，数据弧的变量类型，用于数据库创建，搜索和检索的工具是相似的。GVK BIO一直在开发药物化学，临床研究和基于机制的毒性等特定领域的公开科学文献数据库，以便包含大量数据的结构化数据库可用于多个研究领域。根据数据库系统的设计方式，这些数据库被分类为参考中心或复合中心。这些数据库与知识衍生工具的整合将提高这些系统的价值，以更好地设计和发现药物。
Several database systems have been developed to provide valuable information from the bench chemist to biologist, medical practitioner to pharmaceutical scientist in a structured format. The advent of information technology and computational power enhanced the ability to access large volumes of data in the form of a database where one could do compilation, searching, archiving, analysis, and finally knowledge derivation. Although, data arc of variable types the tools used for database creation, searching and retrieval are similar. GVK BIO has been developing databases from publicly available scientific literature in specific areas like medicinal chemistry, clinical research, and mechanism-based toxicity so that the structured databases containing vast data could be used in several areas of research. These databases were classified as reference centric or compound centric depending on the way the database systems were designed. Integration of these databases with knowledge derivation tools would enhance the value of these systems toward better drug design and discovery.