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International Journal on Bioinformatics & Biosciences
Article . 2023 . Peer-reviewed
Data sources: Crossref
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Residue Number System (RNS) Sequence Comparison and Mutation (Error) Analysis

Authors: Ing. Joshua Apigagua Akanbasiam; Kwame Osei Boateng; Matthew Glover Addo;

Residue Number System (RNS) Sequence Comparison and Mutation (Error) Analysis

Abstract

The genetic code may be generated using the Residue Number System (RNS). This achievement demonstrates the viability of protein synthesis. The genetic codes occupy RNS digits and enable sequence comparison as well as further analysis of biological flaws known as mutations. In this research work two mRNA reading frames (strings) are considered as strings of RNS digits. Triplets of these residue number digits constitutes an amino acids and chains of these triplets make up polypeptides, proteins. These digits are compared and single digits errors introduced, these errors mimic biological errors (mutations). The types of errors (mutations) that are manifested between the two reading frames, original and mutant, are detected and reported.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold