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Record W2316360327 · doi:10.1021/jp105817p

Effect of Watson−Crick and Hoogsteen Base Pairing on the Conformational Stability of C8-Phenoxyl-2′-deoxyguanosine Adducts

2010· article· en· W2316360327 on OpenAlexaff
Andrea L. Millen, Cassandra D. M. Churchill, Richard A. Manderville, Stacey D. Wetmore

Bibliographic record

VenueThe Journal of Physical Chemistry B · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA and Nucleic Acid Chemistry
Canadian institutionsUniversity of GuelphUniversity of Lethbridge
Fundersnot available
KeywordsNucleobaseChemistryAdductHydrogen bondDeoxyguanosineStereochemistryBase pairGuanineNucleosideDNACrystallographyComputational chemistryMoleculeNucleotideOrganic chemistryBiochemistry

Abstract

fetched live from OpenAlex

Bulky DNA addition products (adducts) formed through attack at the C8 site of guanine can adopt the syn orientation about the glycosidic bond due to changes in conformational stability or hydrogen-bonding preferences directly arising from the bulky group. Indeed, the bulky substituent may improve the stability of (non-native) Hoogsteen pairs. Therefore, such adducts often result in mutations upon DNA replication. This work examines the hydrogen-bonded pairs between the Watson-Crick and Hoogsteen faces of the ortho or para C8-phenoxyl-2'-deoxyguanosine adduct and each natural (undamaged) nucleobase with the goal to clarify the conformational preference of this type of damage, as well as provide insight into the likelihood of subsequent mutation events. B3LYP/6-311+G(2df,p)//B3LYP/6-31G(d) hydrogen-bond strengths were determined using both nucleobase and nucleoside models for adduct pairs, as well as the corresponding complexes involving natural 2'-deoxyguanosine. In addition to the magnitude of the binding strengths, the R(C1'···C1') distances and ∠(N9C1'C1') angles, as well as the degree of propeller-twist and buckle distortions, were carefully compared to the values observed in natural DNA strands. Due to structural changes in the adduct monomer upon inclusion of the sugar moiety, the monomer deformation energy significantly affects the relative hydrogen-bond strengths calculated with the nucleobase and nucleoside models. Therefore, we recommend the use of at least a nucleoside model to accurately evaluate hydrogen-bond strengths of base pairs involving flexible, bulky nucleobase adducts. Our results also emphasize the importance of considering both the magnitude of the hydrogen-bond strength and the structure of the base pair when predicting the preferential binding patterns of nucleobases. Using our best models, we conclude that the Watson-Crick face of the ortho phenoxyl adduct forms significantly more stable complexes than the Hoogsteen face, which implies that the anti orientation of the damaged base will be favored by hydrogen bonding in DNA helices. Additionally, regardless of the hydrogen-bonding face involved, cytosine forms the most stable base pair with the ortho adduct, which implies that misincorporation due to this type of damage is unlikely. Similarly, cytosine is the preferred binding partner for the Watson-Crick face of the para adduct. However, Hoogsteen interactions with the para adduct are stronger than those with natural 2'-deoxyguanosine or the ortho adduct, and this form of damage binds with nearly equal stability to both cytosine and guanine in the Hoogsteen orientation. Therefore, the para adduct may adopt multiple orientations in DNA helices and potentially cause mutations by forming pairs with different natural bases. Models of oligonucleotide duplexes must be used in future work to further evaluate other factors (stacking, major groove contacts) that may influence the conformation and binding preference of these adducts in DNA helices.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.001
Threshold uncertainty score0.312

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.005
GPT teacher head0.223
Teacher spread0.218 · 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 teacher head, 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

Citations18
Published2010
Admission routes1
Has abstractyes

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