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Record W7017593402

Biophysical and Synthetic Studies of Guanine Quadruplex Binders

2021· dissertation· en· W7017593402 on OpenAlexaboutno aff

Bibliographic record

VenueQSpace (Queen's University Library) · 2021
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA and Nucleic Acid Chemistry
Canadian institutionsnot available
Fundersnot available
KeywordsG-quadruplexGeneDNAGuanineSmall moleculeOncogeneRegulation of gene expressionTelomereCell
DOInot available

Abstract

fetched live from OpenAlex

Cancer is a group of diseases prevalent in Canada and around the world, and depending on the type of cancer, can be associated with a high death rate. Cancer is considered a genetic disease that results from mutations to normal genes called ‘proto-oncogenes’. Mutations to these proto-oncogenes result in ‘oncogenes’, whose gene expression leads to uncontrolled cell growth and proliferation. The RET oncogene codes for a defective overactive receptor protein located on the cell membrane, which upregulates intracellular growth and proliferation pathways, leading to the progression of various cancers, especially thyroid cancer. Likewise, the c-MYC oncogene is involved with the progression of colon, breast, prostate, cervical, and lung carcinomas. Genome-based regulation of RET and c-MYC has been explored as a potential cancer therapeutic. Normally, genomic deoxyribonucleic acid (DNA) exists in the double-helical structure, but in certain cases, DNA can self-assemble into higher-order architectures called guanine quadruplexes (G4s). By folding in the region that controls gene expression (‘promoter’ region), the G4 has the ability to stall gene expression, thus expanding research has been dedicated to the development of small molecules that can stabilize G4s within the promoter regions of oncogenes. In recent years, the Petitjean Group has made an exciting discovery of a small platinum-based molecule (L) that can bind various G4s with high affinity, and exhibits high quadruplex over duplex selectivity. In the first part of this work, biophysical studies to analyze the binding affinity and stoichiometry of L to G4s are described. Specifically, results from ultraviolet-visible spectroscopy suggest tight binding of L with a telomeric G4 and a 2:1 binder to G4 stoichiometry. Analysis and fitting of fluorescence indicator displacement (FID) assay data suggests similar tight binding between L and the c-MYC-G4. These are detailed in Chapter 2. The tight binding and thus strong stabilization of G4s offered by L is highly promising for future development as an anti-cancer agent. However, a challenge that remains is to specifically target one G4 among the thousands of G4s that can fold in the genome to prevent off-target effects as a potential drug candidate. In the second part of this work, the development of small molecules that can specifically recognize and target the RET oncogene promoter G4 is described. To achieve this specificity, an aminonaphthyridine functionality was incorporated into the design of these small molecules, with the goal for the aminonaphthyridine to interact with structural features unique to the RET-G4, thus enhancing specificity for the RET-G4. Two independent synthesis pathways, the isocyanate and the di-succinimidyl carbonate (DSC) pathway were explored to synthesize dimeric and monomeric targeting molecules, respectively, which are detailed in Chapter 3.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.210
Teacher spread0.204 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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