Your browser doesn't support javascript.
loading
A Guide to Computational Cotranscriptional Folding Featuring the SRP RNA.
Badelt, Stefan; Lorenz, Ronny.
Affiliation
  • Badelt S; Department of Theoretical Chemistry, University of Vienna, Vienna, Austria. stefan.badelt@univie.ac.at.
  • Lorenz R; Department of Theoretical Chemistry, University of Vienna, Vienna, Austria.
Methods Mol Biol ; 2726: 315-346, 2024.
Article in En | MEDLINE | ID: mdl-38780737
ABSTRACT
Although RNA molecules are synthesized via transcription, little is known about the general impact of cotranscriptional folding in vivo. We present different computational approaches for the simulation of changing structure ensembles during transcription, including interpretations with respect to experimental data from literature. Specifically, we analyze different mutations of the E. coli SRP RNA, which has been studied comparatively well in previous literature, yet the details of which specific metastable structures form as well as when they form are still under debate. Here, we combine thermodynamic and kinetic, deterministic, and stochastic models with automated and visual inspection of those systems to derive the most likely scenario of which substructures form at which point during transcription. The simulations do not only provide explanations for present experimental observations but also suggest previously unnoticed conformations that may be verified through future experimental studies.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Thermodynamics / Transcription, Genetic / RNA, Bacterial / Escherichia coli / RNA Folding / Nucleic Acid Conformation Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Thermodynamics / Transcription, Genetic / RNA, Bacterial / Escherichia coli / RNA Folding / Nucleic Acid Conformation Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2024 Document type: Article Affiliation country: Country of publication: