Date of Award

12-1-2022

Language

English

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

College/School/Department

Department of Chemistry

Content Description

1 online resource (xx, 167 pages) : chiefly color illustrations.

Dissertation/Thesis Chair

Mehmet V. Yigit

Committee Members

Jia Sheng, Alan Chen, Ken Halvorsen

Keywords

Biochemistry, Cancer, CRISPR, Machine Learning, Nanodevices, Nucleic Acids, Nucleic acids, CRISPR-associated protein 9, Endonucleases

Subject Categories

Artificial Intelligence and Robotics | Biochemistry | Nanoscience and Nanotechnology

Abstract

The field of nucleic acid technology is rapidly expanding with new impactful discoveriesbeing made each year. Starting from the discovery of the double-helix structure, cloning, gene editing, polymerase chain reaction (PCR), CRISPR technology, and even the late mRNA vaccines; nucleic acid technology is at the forefront of improving medicine. Nucleic acid technology is extremely versatile due to its easy programmability, automated cheap synthesis, and even its catalog for numerous chemical modifications that can be used to alter structure stability. For example, the number of permutations that can be made with DNA just by altering the code for adenine (A), cytosine (C), guanine (G), or thymine (T) are numerous provided a given sequence length. This four-letter coding allows for specific rules of base-pairing and different degrees of intra-strand stabilization through self-hybridization or even π-π base stacking. Along with this, the way that we or nature programs nucleic acids affects their flexibility and structure which may induce secondary or even a functional tertiary structure to allow for interactions with proteins or small molecules.

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