Content area

Abstract

One of the most commonly known paradigms for the origins of terrestrial life is the RNA world hypothesis, which posits that RNA emerged as the first informational polymer and that DNA is its direct descendant. However, hypothetical evolutionary precursors to RNA, or proto-RNA-type molecules, are of interest in the prebiotic chemistry space inasmuch as they present a more prebiotically plausible explanation for the evolution of nucleic acids. This work focuses on the use of the proto-Nucleic Acid Builder, an opensource software designed for the construction of alternative nucleic acid molecules from geometric first principles, to explore one such proto-RNA system and the development of a methodology to delimit the helical and torsional parameters that stable supramolecular assemblies of these proto-RNA molecules will be able to adopt, while also endeavoring to narrow the range of potential proto-RNA backbone candidates for the system. While the results shed light on factors of potential importance in the stability of the assemblies, further work is needed to construct conformers that align more closely with realistic expectations of backbone torsions.

Details

1010268
Title
Computational Exploration of Allowed Geometry Space for Proto-rna Assemblies
Number of pages
109
Publication year
2025
Degree date
2025
School code
0078
Source
MAI 87/5(E), Masters Abstracts International
ISBN
9798263328900
Committee member
Schuster, Gary; Finn, M. G.
University/institution
Georgia Institute of Technology
University location
United States -- Georgia
Degree
M.S.
Source type
Dissertation or Thesis
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
32307982
ProQuest document ID
3275478103
Document URL
https://www.proquest.com/dissertations-theses/computational-exploration-allowed-geometry-space/docview/3275478103/se-2?accountid=208611
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works; open.access
Database
ProQuest One Academic