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Ribosomal computing: implementation of the computational method

Authors :
Pratima Chatterjee
Prasun Ghosal
Sahadeb Shit
Arindam Biswas
Saurav Mallik
Sarah Allabun
Manal Othman
Almubarak Hassan Ali
E. Elshiekh
Ben Othman Soufiene
Source :
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-27 (2024)
Publication Year :
2024
Publisher :
BMC, 2024.

Abstract

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.

Details

Language :
English
ISSN :
14712105
Volume :
25
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Bioinformatics
Publication Type :
Academic Journal
Accession number :
edsdoj.643ebdfc288d416ba71a643387fb0d6a
Document Type :
article
Full Text :
https://doi.org/10.1186/s12859-024-05945-w