2024
DOI: 10.14218/ge.2023.00079
|View full text |Cite
|
Sign up to set email alerts
|

Group Theory of Messenger RNA Metabolism and Disease

Michel Planat,
Marcelo Amaral,
David Chester
et al.

Abstract: Our recent work has focused on the application of infinite group theory and related algebraic geometric tools in the context of transcription factors and microRNAs. We were able to differentiate between "healthy" nucleotide sequences and disrupted sequences that may be associated with various diseases. In this paper, we extend our efforts to the study of messenger RNA (mRNA) metabolism, showcasing the power of our approach. We investigate (1) mRNA translation in prokaryotes and eukaryotes, (2) polyadenylation … Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
3
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(3 citation statements)
references
References 35 publications
0
3
0
Order By: Relevance
“…Chemical modifications in the environment also controls the metabolism of GE. For instance, RNA methylation with N 6 -methymadenosine (m 6 A) is documented in our recent paper [8].…”
Section: Introductionmentioning
confidence: 91%
See 2 more Smart Citations
“…Chemical modifications in the environment also controls the metabolism of GE. For instance, RNA methylation with N 6 -methymadenosine (m 6 A) is documented in our recent paper [8].…”
Section: Introductionmentioning
confidence: 91%
“…Since the genome is digital with its four nucleotides A, U/T, G and C as letters, there are important short sequences as the consensus sequence of a transcription factor, a TATA box, a polyadenymation signal or a microRNA (miRNA) whose structure should obey group theory and associated character variety rules. Otherwise, a disease is in sight [6][7][8]. Chemical modifications in the environment also controls the metabolism of GE.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation