UFT - Federal University of Tocantins, Department of Biotechnology, Caixa Postal 66, Gurupi 77402-970, Tocantins, Brazil.
UNESP - Universidade Estadual Paulista, Institute of Chemistry, Department of Biochemistry and Technological Chemistry, Araraquara 14800-000, São Paulo, Brazil.
Comput Biol Med. 2015 Mar;58:146-53. doi: 10.1016/j.compbiomed.2015.01.010. Epub 2015 Jan 17.
Toxin-antitoxin (TA) systems are diverse and abundant genetic modules in prokaryotic cells that are typically formed by two genes encoding a stable toxin and a labile antitoxin. Because TA systems are able to repress growth or kill cells and are considered to be important actors in cell persistence (multidrug resistance without genetic change), these modules are considered potential targets for alternative drug design. In this scenario, structural information for the proteins in these systems is highly valuable. In this report, we describe the development of a web-based system, named BtoxDB, that stores all protein structural data on TA systems.
The BtoxDB database was implemented as a MySQL relational database using PHP scripting language. Web interfaces were developed using HTML, CSS and JavaScript. The data were collected from the PDB, UniProt and Entrez databases. These data were appropriately filtered using specialized literature and our previous knowledge about toxin-antitoxin systems.
The database provides three modules ("Search", "Browse" and "Statistics") that enable searches, acquisition of contents and access to statistical data. Direct links to matching external databases are also available.
The compilation of all protein structural data on TA systems in one platform is highly useful for researchers interested in this content. BtoxDB is publicly available at http://www.gurupi.uft.edu.br/btoxdb.
毒素-抗毒素（TA）系统是原核细胞中多样化且丰富的遗传模块，通常由两个基因组成，编码一个稳定的毒素和一个不稳定的抗毒素。由于 TA 系统能够抑制细胞生长或杀死细胞，并且被认为是细胞持久性（无遗传变化的多药耐药性）的重要因素，这些模块被认为是替代药物设计的潜在目标。在这种情况下，这些系统中蛋白质的结构信息非常有价值。在本报告中，我们描述了一种名为 BtoxDB 的基于网络的系统的开发，该系统存储了 TA 系统的所有蛋白质结构数据。
BtoxDB 数据库是使用 PHP 脚本语言作为 MySQL 关系数据库实现的。使用 HTML、CSS 和 JavaScript 开发了 Web 界面。数据是从 PDB、UniProt 和 Entrez 数据库中收集的。这些数据使用专门的文献和我们以前对毒素-抗毒素系统的了解进行了适当的过滤。
该数据库提供了三个模块（“搜索”、“浏览”和“统计”），可用于搜索、获取内容和访问统计数据。还提供了到匹配的外部数据库的直接链接。
将所有 TA 系统的蛋白质结构数据汇集在一个平台上，对于对此内容感兴趣的研究人员非常有用。BtoxDB 可在 http://www.gurupi.uft.edu.br/btoxdb 上公开获取。
