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Record W2052717087 · doi:10.1074/jbc.m701973200

High Resolution Footprinting of the Hepatitis C Virus Polymerase NS5B in Complex with RNA

2007· article· en· W2052717087 on OpenAlexafffund
Jérôme Deval, Claudia M. D’Abramo, Zhuojun Zhao, Suzanne McCormick, Dimitrios Coutsinos, Sonja Hess, Mamuka Kvaratskhelia, Matthias Götte

Bibliographic record

VenueJournal of Biological Chemistry · 2007
Typearticle
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsMcGill University
FundersNational Institutes of HealthNational Institute of Allergy and Infectious DiseasesCanadian Institutes of Health ResearchCancer Research Society
KeywordsFootprintingNS5BRNAPolymeraseNucleic acidRNA-dependent RNA polymeraseRNA polymeraseBiochemistryBiologyBinding siteNucleoproteinNucleic acid structureMolecular biologyDNA footprintingChemistryEnzymeDNADNA-binding proteinGeneTranscription factor

Abstract

fetched live from OpenAlex

The nucleic acid binding channel of the hepatitis C virus RNA polymerase remains to be defined. Here we employed complementary footprinting techniques and show that the enzyme binds to a newly synthesized duplex of approximately seven to eight base pairs. Comparative analysis of surface topologies of free enzyme versus the nucleoprotein complex revealed certain lysines and arginines that are protected from chemical modification upon RNA binding. The protection pattern helps to define the trajectory of the nucleic acid substrate. Lys(81), Lys(98), Lys(100), Lys(106), Arg(158), Arg(386), and Arg(394) probably interact with the bound RNA. The selective protection of amino acids of the arginine-rich region in helix T points to RNA-induced conformational rearrangements. Together, these findings suggest that RNA-protein interaction through the entire substrate binding channel can modulate intradomain contacts at the C terminus.

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 score0.001
Threshold uncertainty score0.004

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.050
GPT teacher head0.315
Teacher spread0.265 · 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

Citations22
Published2007
Admission routes2
Has abstractyes

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Same venueJournal of Biological ChemistrySame topicHepatitis C virus researchFrench-language works237,207