当前位置: X-MOL 学术J. Bioinform. Comput. Biol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
PSSP: Protein splice site prediction algorithm using Bayesian approach
Journal of Bioinformatics and Computational Biology ( IF 1 ) Pub Date : 2019-10-14 , DOI: 10.1142/s0219720019500343
Abolfazl Bahrami 1 , Ali Najafi 2 , Mohammadreza Hashemi 1 , Seyed Reza Miraie-Ashtiani 1
Affiliation  

This study aimed to introduce an algorithm and identify intein motif and blocks involved in protein splicing, and explore the underlying methods in the development of detection of protein motifs. Inteins are mobile protein splicing elements capable of self-splicing post-translationally. They exist in viruses and bacteriophage, notwithstanding this broad phylogenetic distribution, all inteins apportion common structural features. A method was developed to predict intein in a raw sequence, using a ranking and scoring scheme based on amino acid [Formula: see text] value tables. This method aided in the identification and assessment of patterns characterizing the intein sequences. New intein conserved properties are revealed and the known ones are described and localized. We have computed the [Formula: see text] value of each amino acid at block A positions [Formula: see text] to [Formula: see text], block B positions [Formula: see text] to [Formula: see text] and block G positions [Formula: see text]7 to [Formula: see text] for the three categories. The consensus amino acids thus found are listed at the end of each row. We gave statistics for the distance between the blocks, block A to B, block B to F, and block F to G with the average being 66.1, 294, and 10.2 amino acids, respectively. The actual blocks A, B, and G of the one intein found in vacuolar membrane ATPase subunit, a precursor protein, are ranked 1. The results indicate all of the block sequences that are found in nine proteins are ranked at top of the list. The intein sequence is used to search the databases for intein-like proteins. Understanding the functional, structural, and dynamical aspects of inteins is important for intein engineering and the betterment of intein database.

中文翻译:

PSSP:使用贝叶斯方法的蛋白质剪接位点预测算法

本研究旨在介绍一种算法并识别参与蛋白质剪接的内含肽基序和块,并探索开发蛋白质基序检测的潜在方法。内含肽是可移动的蛋白质剪接元件,能够在翻译后进行自我剪接。它们存在于病毒和噬菌体中,尽管存在这种广泛的系统发育分布,但所有内含子都具有共同的结构特征。开发了一种方法来预测原始序列中的内含肽,该方法使用基于氨基酸 [公式:见文本] 值表的排名和评分方案。该方法有助于识别和评估表征内含肽序列的模式。揭示了新的内含肽保守特性,并对已知特性进行了描述和定位。我们已经计算出 [公式:见正文] 块 A 位置 [公式:见正文] 至 [公式:见正文]、块 B 位置 [公式:见正文] 至 [公式:见正文] 和块 G 位置 [公式:见正文] 的每个氨基酸的值text]7 到 [Formula: see text] 三个类别。因此发现的共有氨基酸列在每行的末尾。我们统计了块之间的距离,块 A 到 B,块 B 到 F,块 F 到 G,平均值分别为 66.1、294 和 10.2 个氨基酸。在液泡膜 ATP 酶亚基(一种前体蛋白)中发现的一个内含肽的实际块 A、B 和 G 排名第一。结果表明,在九种蛋白质中发现的所有块序列都排在列表的顶部。内含肽序列用于在数据库中搜索内含肽样蛋白质。了解功能、结构、
更新日期:2019-10-14
down
wechat
bug