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Record W2735478457 · doi:10.2217/fvl-2017-0027

Molecular Modeling and Docking Revealed Superiority of IDX-184 As Hcv Polymerase Inhibitor

2017· article· en· W2735478457 on OpenAlexaff
Abdo A. Elfiky, Alaa M. Ismail

Bibliographic record

VenueFuture Virology · 2017
Typearticle
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSofosbuvirPolymeraseDocking (animal)GuanosineChemistryMolecular modelRibavirinComputational biologyStereochemistryMolecular biologyVirologyGenotypeBiologyMedicineBiochemistryEnzymeGene

Abstract

fetched live from OpenAlex

Aim: IDX-184 is a nonstructural 5b nucleoside inhibitor (NI) that was under clinical trials against HCV. This work adopts a molecular modeling approach in order to study the interaction between IDX-184 and HCV polymerase from four different genotypes. Methods: Comparisons to the native nucleotide (Guanosine triphosphate) and other NIs were performed using interaction descriptors, calculated using semiempirical quantum mechanics and molecular docking. Results: IDX-184 shows potent binding to the active site of the polymerases. In addition, IDX-184 was better than Sofosbuvir and Ribavirin when docked into polymerase active site (even with experimentally solved structure). Conclusion: Analysis of the interaction descriptors and docking complexes suggests IDX-184 as a superior NI against the studied HCV subtypes.

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)0.000
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 score0.360
Threshold uncertainty score0.553

Codex and Gemma teacher scores by category

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 integrity0.0000.000
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 head0.019
GPT teacher head0.336
Teacher spread0.317 · 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

Citations24
Published2017
Admission routes1
Has abstractyes

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