准确、全面的I族内含子及其归巢内切酶数据库。

IF 2.4 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Bioinformatics advances Pub Date : 2025-02-05 eCollection Date: 2025-01-01 DOI:10.1093/bioadv/vbaf020
Lara Sellés Vidal, Tomoya Noma, Yohei Yokobayashi
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引用次数: 0

摘要

动机:I族内含子是研究最广泛的核酶之一。自从它们最初被发现以来,它们中的许多已经通过实验或计算得到了证实。然而,目前还没有一个全面统一的数据库来提供I族内含子序列精确的边界和结构信息。结果:建立了具有可靠外显子-内含子边界的I族内含子序列数据库。该数据库为每个序列提供额外的数据,例如包含GenBank条目,其在相关条目中的位置,每个内含子的亚型和假定的归巢内切酶。还提供了每个序列的二级结构预测和碱基配对概率矩阵。该资源有望促进I族内含子的大规模研究,以及新应用的工程。可用性和实现:该数据库,以及生成它的代码和便于对其进行探索的GUI,可在https://github.com/LaraSellesVidal/Group1IntronDatabase上获得。GUI实现的源代码可从https://github.com/LaraSellesVidal/OnlineGroup1IntronDatabase获得。该数据库也可以通过https://online-group-1-intron-database.onrender.com在线访问。碱基配对概率矩阵可在https://www.ebi.ac.uk/biostudies/studies/S-BSST1399单独获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accurate, comprehensive database of group I introns and their homing endonucleases.

Motivation: Group I introns are one of the most widely studied ribozymes. Since their initial discovery, a large number of them have been identified experimentally or computationally. However, no comprehensive and unified database that provides group I intron sequences with precise boundaries and structural information is available.

Results: We created a new database of group I intron sequences with reliable exon-intron boundaries. The database offers additional data for each sequence, such as containing GenBank entry, its position within the associated entry, the subtype of each intron and putative homing endonucleases. Secondary structure predictions and base-pairing probability matrixes are also provided for each sequence. The resource is expected to facilitate large-scale studies of group I introns, as well as engineering for novel applications.

Availability and implementation: The database, as well as the code to generate it and a GUI to facilitate its exploration, are available at https://github.com/LaraSellesVidal/Group1IntronDatabase. The source code for the GUI implementation is available at https://github.com/LaraSellesVidal/OnlineGroup1IntronDatabase. The database can also be accessed online at https://online-group-1-intron-database.onrender.com. Base-pairing probability matrixes are available separately at https://www.ebi.ac.uk/biostudies/studies/S-BSST1399.

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