CEIS/Departamento de Biologia, Instituto de Biociências, UNESP, Rio Claro, São Paulo, Brasil.
BMC Bioinformatics. 2010 Jan 7;11:12. doi: 10.1186/1471-2105-11-12.
The functional and structural characterisation of enzymes that belong to microbial metabolic pathways is very important for structure-based drug design. The main interest in studying shikimate pathway enzymes involves the fact that they are essential for bacteria but do not occur in humans, making them selective targets for design of drugs that do not directly impact humans.
The ShiKimate Pathway DataBase (SKPDB) is a relational database applied to the study of shikimate pathway enzymes in microorganisms and plants. The current database is updated regularly with the addition of new data; there are currently 8902 enzymes of the shikimate pathway from different sources. The database contains extensive information on each enzyme, including detailed descriptions about sequence, references, and structural and functional studies. All files (primary sequence, atomic coordinates and quality scores) are available for downloading. The modeled structures can be viewed using the Jmol program.
The SKPDB provides a large number of structural models to be used in docking simulations, virtual screening initiatives and drug design. It is freely accessible at http://lsbzix.rc.unesp.br/skpdb/.
属于微生物代谢途径的酶的功能和结构特征对于基于结构的药物设计非常重要。研究莽草酸途径酶的主要兴趣在于它们对细菌是必需的,但在人类中不存在,这使得它们成为设计不会直接影响人类的药物的选择性靶标。
ShiKimate 途径数据库 (SKPDB) 是一个应用于微生物和植物中莽草酸途径酶研究的关系型数据库。该数据库目前定期更新,添加新数据;目前有来自不同来源的 8902 种莽草酸途径酶。该数据库包含关于每个酶的广泛信息,包括有关序列、参考文献以及结构和功能研究的详细描述。所有文件(原始序列、原子坐标和质量分数)均可下载。可以使用 Jmol 程序查看建模结构。
SKPDB 提供了大量的结构模型,可用于对接模拟、虚拟筛选计划和药物设计。可在 http://lsbzix.rc.unesp.br/skpdb/ 免费访问。