Ribosomal computing: implementation of the computational method.

IF 2.9 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Pratima Chatterjee, Prasun Ghosal, Sahadeb Shit, Arindam Biswas, Saurav Mallik, Sarah Allabun, Manal Othman, Almubarak Hassan Ali, E Elshiekh, Ben Othman Soufiene
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引用次数: 0

Abstract

Background: Several computational and mathematical models of protein synthesis have been explored to accomplish the quantitative analysis of protein synthesis components and polysome structure. The effect of gene sequence (coding and non-coding region) in protein synthesis, mutation in gene sequence, and functional model of ribosome needs to be explored to investigate the relationship among protein synthesis components further. Ribosomal computing is implemented by imitating the functional property of protein synthesis.

Result: In the proposed work, a general framework of ribosomal computing is demonstrated by developing a computational model to present the relationship between biological details of protein synthesis and computing principles. Here, mathematical abstractions are chosen carefully without probing into intricate chemical details of the micro-operations of protein synthesis for ease of understanding. This model demonstrates the cause and effect of ribosome stalling during protein synthesis and the relationship between functional protein and gene sequence. Moreover, it also reveals the computing nature of ribosome molecules and other protein synthesis components. The effect of gene mutation on protein synthesis is also explored in this model.

Conclusion: The computational model for ribosomal computing is implemented in this work. The proposed model demonstrates the relationship among gene sequences and protein synthesis components. This model also helps to implement a simulation environment (a simulator) for generating protein chains from gene sequences and can spot the problem during protein synthesis. Thus, this simulator can identify a disease that can happen due to a protein synthesis problem and suggest precautions for it.

核糖体计算:计算方法的实施。
背景:为了完成蛋白质合成组分和多聚体结构的定量分析,人们探索了一些蛋白质合成的计算和数学模型。要进一步研究蛋白质合成各组分之间的关系,还需要探讨基因序列(编码区和非编码区)对蛋白质合成的影响、基因序列的突变以及核糖体的功能模型。核糖体计算是通过模仿蛋白质合成的功能特性来实现的:在所提出的工作中,通过开发一个计算模型来展示蛋白质合成的生物学细节与计算原理之间的关系,从而展示了核糖体计算的总体框架。为了便于理解,我们精心选择了数学抽象概念,而没有探究蛋白质合成微观操作的复杂化学细节。该模型展示了蛋白质合成过程中核糖体停滞的因果关系,以及功能蛋白质与基因序列之间的关系。此外,它还揭示了核糖体分子和其他蛋白质合成成分的计算性质。该模型还探讨了基因突变对蛋白质合成的影响:本作品实现了核糖体计算模型。提出的模型展示了基因序列和蛋白质合成元件之间的关系。该模型还有助于建立一个模拟环境(模拟器),根据基因序列生成蛋白质链,并发现蛋白质合成过程中的问题。因此,该模拟器可以识别因蛋白质合成问题而可能导致的疾病,并提出预防措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Bioinformatics
BMC Bioinformatics 生物-生化研究方法
CiteScore
5.70
自引率
3.30%
发文量
506
审稿时长
4.3 months
期刊介绍: BMC Bioinformatics is an open access, peer-reviewed journal that considers articles on all aspects of the development, testing and novel application of computational and statistical methods for the modeling and analysis of all kinds of biological data, as well as other areas of computational biology. BMC Bioinformatics is part of the BMC series which publishes subject-specific journals focused on the needs of individual research communities across all areas of biology and medicine. We offer an efficient, fair and friendly peer review service, and are committed to publishing all sound science, provided that there is some advance in knowledge presented by the work.
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