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Record W2953965810 · doi:10.24908/iqurcp.13250

Assessing the Binding Affinity of a Small Molecule for the c-Myc oncogene guanine quadruplex for targeted anticancer applications

2019· article· en· W2953965810 on OpenAlexaffvenue
Yushi Liang

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA and Nucleic Acid Chemistry
Canadian institutionsQueen's University
Fundersnot available
KeywordsGuanineG-quadruplexGeneDNAOncogeneCancer cellCancerBiologyCancer researchChemistrySmall moleculeMolecular biologyGeneticsCell cycleNucleotide

Abstract

fetched live from OpenAlex

Cancer is a group of diseases defined by abnormal cell growth that can invade different tissues and is caused by mutations to certain genes leading to uncontrolled cellular proliferation.[1] Found in all cells, deoxyribonucleic acid (DNA) encodes through five bases the genes needed to make every protein in the body. Aside from its conventional double helical structure, DNA can form higher-order architectures called guanine quadruplexes (G4s). G4s are composed of planar tetrads of four hydrogen-bonded guanines stabilized by a central cation that help limit the expression of cancer-related genes (Figure 1).[2] c-Myc is a gene that is overexpressed in the majority of human cancers.[3] Overexpression of c-Myc upregulates cellular growth and metabolism pathways central to cancer.[3] The region of the c-Myc gene that controls its expression (‘promoter region’) can fold into a G4.[4] Enforcing the folding of the c-Myc promoter into a G4 using small molecules can prevent c-Myc expression leading to cancer. Two years ago, the Petitjean Group made an exciting discovery of a binder which showed uniquely high affinity for G4s, while not associating with duplex DNA.[5] In my research presented here, I am using the fluorescence indicator displacement assay to indirectly assess binding constants and determine the degree of stabilization this binder offered to the c-Myc G4. Knowing the stabilization offered by this binder to c-Myc G4 can allow further research into a second generation of binders for targeted anticancer applications. Figure 1. Planar tetrads of hydrogen-bonded guanines (left) stacked to form a G4 (right). G4-selective binder (yellow). References [1] Miller, D. M.; Thomas, S. D.; Islam, A.; Muench, D.; Sedoris, K. Clin. Canc. Res. 2013, 18, 5546-5553. [2] Ruggiero, E.; Richter, S. N. Nucleic Acids Res. 2018, 46, 3270-3283. [3] Brooks, T. A.; Hurley, L. H. Genes Cancer. 2010, 6, 641-649. [4] You, H.; Wu, J.; Shao, F.; Yan, J. J. Am. Chem. Soc. 2015, 7, 2424-2427. [5] a) Caitlin E. Miron, PhD Thesis, Queen’s University, 2018; b) C. E. Miron, J.-L. Mergny, A. Petitjean, Platinum Compounds for Binding Guanine Quadruplexes, PCT/C2018/051399.

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)0.000
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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.093
GPT teacher head0.394
Teacher spread0.301 · 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
Published2019
Admission routes2
Has abstractyes

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