Department of Biological Sciences, University of Southern Mississippi, Hattiesburg, Mississippi 39406, USA.
BMC Bioinformatics. 2006 Sep 6;7 Suppl 2(Suppl 2):S6. doi: 10.1186/1471-2105-7-S2-S6.
Catalytic RNA molecules are called ribozymes. The aptamers are DNA or RNA molecules that have been selected from vast populations of random sequences, through a combinatorial approach known as SELEX. The selected oligo-nucleotide sequences (~200 bp in length) have the ability to recognize broad range of specific ligands by forming binding pockets. These novel aptamer sequences can bind to nucleic acids, proteins or small organic and inorganic chemical compounds and have many potential uses in medicine and technology.
The comprehensive sequence information on aptamers and ribozymes that have been generated by in vitro selection methods are included in this RiboaptDB database. Such types of unnatural data generated by in vitro methods are not available in the public 'natural' sequence databases such as GenBank and EMBL. The amount of sequence data generated by in vitro selection experiments has been accumulating exponentially. There are 370 artificial ribozyme sequences and 3842 aptamer sequences in the total 4212 sequences from 423 citations in this RiboaptDB. We included general search feature, and individual feature wise search, user submission form for new data through online and also local BLAST search.
This database, besides serving as a storehouse of sequences that may have diagnostic or therapeutic utility in medicine, provides valuable information for computational and theoretical biologists. The RiboaptDB is extremely useful for garnering information about in vitro selection experiments as a whole and for better understanding the distribution of functional nucleic acids in sequence space. The database is updated regularly and is publicly available at http://mfgn.usm.edu/ebl/riboapt/.
催化 RNA 分子被称为核酶。适体是通过一种称为 SELEX 的组合方法从大量随机序列中选择出来的 DNA 或 RNA 分子。所选的寡核苷酸序列(长度约为 200bp)具有通过形成结合口袋识别广泛范围的特定配体的能力。这些新的适体序列可以与核酸、蛋白质或小分子有机和无机化学化合物结合,并在医学和技术中有许多潜在的用途。
通过体外选择方法生成的适体和核酶的综合序列信息包含在这个 RiboaptDB 数据库中。这种通过体外方法生成的非自然数据在 GenBank 和 EMBL 等公共“自然”序列数据库中是不可用的。通过体外选择实验生成的序列数据量呈指数级增长。在这个 RiboaptDB 中,有 423 个引用中有 370 个人工核酶序列和 3842 个适体序列,总共 4212 个序列。我们包括了一般搜索功能,以及按单个特征搜索,用户可以通过在线提交新数据的表单,还可以进行本地 BLAST 搜索。
除了作为可能具有医学诊断或治疗用途的序列的存储库之外,这个数据库还为计算和理论生物学家提供了有价值的信息。RiboaptDB 对于整体了解体外选择实验非常有用,并且有助于更好地理解功能核酸在序列空间中的分布。该数据库定期更新,并可在 http://mfgn.usm.edu/ebl/riboapt/ 上公开获取。