Lin Ying-Chi, Wang Chia-Chi, Chen Ih-Sheng, Jheng Jhao-Liang, Li Jih-Heng, Tung Chun-Wei
School of Pharmacy, College of Pharmacy, Kaohsiung Medical University, 100 Shih-Chuan 1st Road, Kaohsiung 80708, Taiwan.
ScientificWorldJournal. 2013 May 12;2013:736386. doi: 10.1155/2013/736386. Print 2013.
The unique geographic features of Taiwan are attributed to the rich indigenous and endemic plant species in Taiwan. These plants serve as resourceful bank for biologically active phytochemicals. Given that these plant-derived chemicals are prototypes of potential drugs for diseases, databases connecting the chemical structures and pharmacological activities may facilitate drug development. To enhance the utility of the data, it is desirable to develop a database of chemical compounds and corresponding activities from indigenous plants in Taiwan. A database of anticancer, antiplatelet, and antituberculosis phytochemicals from indigenous plants in Taiwan was constructed. The database, TIPdb, is composed of a standardized format of published anticancer, antiplatelet, and antituberculosis phytochemicals from indigenous plants in Taiwan. A browse function was implemented for users to browse the database in a taxonomy-based manner. Search functions can be utilized to filter records of interest by botanical name, part, chemical class, or compound name. The structured and searchable database TIPdb was constructed to serve as a comprehensive and standardized resource for anticancer, antiplatelet, and antituberculosis compounds search. The manually curated chemical structures and activities provide a great opportunity to develop quantitative structure-activity relationship models for the high-throughput screening of potential anticancer, antiplatelet, and antituberculosis drugs.
台湾独特的地理特征造就了台湾丰富的本土及特有植物物种。这些植物是生物活性植物化学物质的丰富宝库。鉴于这些源自植物的化学物质是治疗疾病潜在药物的原型,连接化学结构与药理活性的数据库可能会促进药物研发。为提高数据的实用性,开发一个关于台湾本土植物化合物及其相应活性的数据库是很有必要的。构建了一个关于台湾本土植物抗癌、抗血小板和抗结核植物化学物质的数据库。该数据库TIPdb由已发表的台湾本土植物抗癌、抗血小板和抗结核植物化学物质的标准化格式组成。实现了一个浏览功能,供用户以基于分类学的方式浏览数据库。搜索功能可用于按植物名称、部位、化学类别或化合物名称筛选感兴趣的记录。构建结构化且可搜索的数据库TIPdb,作为抗癌、抗血小板和抗结核化合物搜索的全面且标准化资源。人工整理的化学结构和活性为开发用于高通量筛选潜在抗癌、抗血小板和抗结核药物的定量构效关系模型提供了绝佳机会。