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Record W2312487438 · doi:10.1021/bi1012035

Modeling the Interactions of the Nucleotide Excision Repair UvrA<sub>2</sub> Dimer with DNA

2010· article· en· W2312487438 on OpenAlexaff
Tsvetan G. Gantchev, Darel J. Hunting

Bibliographic record

VenueBiochemistry · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA Repair Mechanisms
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsDNANucleotide excision repairChemistryDimerDNA repairDocking (animal)HMG-boxDNA-binding domainDNA damageBiophysicsDNA-binding proteinBiochemistryBiologyGeneTranscription factor

Abstract

fetched live from OpenAlex

The UvrA protein initiates the DNA damage recognition process by the bacterial nucleotide excision repair (NER) system. Recently, crystallographic structures of holo-UvrA(2) dimers from two different microorganisms have been released (Protein Data Bank entries 2r6f , 2vf7 , and 2vf8 ). However, the details of the DNA binding by UvrA(2) and other peculiarities involved in the damage recognition process remain unknown. We have undertaken a molecular modeling approach to appraise the possible modes of DNA-UvrA(2) interaction using molecular docking and short-scale guided molecular dynamics [continuum field, constrained, and/or unrestricted simulated annealing (SA)], taking into account the three-dimensional location of a series of mutation-identified UvrA residues implicated in DNA binding. The molecular docking was based on the assumptions that the UvrA(2) dimer is preformed prior to DNA binding and that no major protein conformational rearrangements, except moderate domain reorientations, are required for binding of undamaged DNA. As a first approximation, DNA was treated as a rigid ligand. From the electrostatic relief of the ventral surface of UvrA(2), we initially identified three, noncollinear DNA binding paths. Each of the three resulting nucleoprotein complexes (C1, C2, and C3) was analyzed separately, including calculation of binding energies, the number and type of interaction residues (including mutated ones), and the predominant mode of translational and rotational motion of specific protein domains after SA to ensure improved DNA binding. The UvrA(2) dimer can accommodate DNA in all three orientations, albeit with different binding strengths. One of the UvrA(2)-DNA complexes (C1) fulfilled most of the requirements (high interaction energy, proximity of DNA to mutated residues, etc.) expected for a natural, high-affinity DNA binding site. This nucleoprotein presents a structural organization that is designed to clamp and bend double-stranded DNA. We examined the binding site in more detail by docking DNAs of significantly different (AT- vs CG-enriched) sequences and by submitting the complexes to DNA-unrestricted SA. It was found that in a manner independent of the DNA sequence and applied MD protocols, UvrA(2) favors binding of a bent and unwound undamaged DNA, with a kink positioned in the proximity of the Zn3 hairpins, anticollinearly aligned at the bottom of the ventral protein surface. It is further hypothesized that the Zn3 modules play an essential role in the damage recognition process and that the apparent existence of a family of DNA binding sites might be biologically relevant. Our data should prove to be useful in rational (structure-based) mutation studies.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.219
Teacher spread0.213 · 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 designSimulation or modeling
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

Citations3
Published2010
Admission routes1
Has abstractyes

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