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Record W2051330176 · doi:10.1021/ac702126y

Molecular Dynamics Study of Chiral Recognition for the Whelk-O1 Chiral Stationary Phase

2008· article· en· W2051330176 on OpenAlexaff
Chunfeng Zhao, N. M. Cann

Bibliographic record

VenueAnalytical Chemistry · 2008
Typearticle
Languageen
FieldChemistry
TopicAnalytical Chemistry and Chromatography
Canadian institutionsQueen's University
FundersU.S. Food and Drug Administration
KeywordsChemistryDocking (animal)Searching the conformational space for dockingAnalyteMolecular dynamicsHydrogen bondComputational chemistrySteric effectsSelectivityChemical physicsStereochemistryMoleculeOrganic chemistryPhysical chemistryBinding site

Abstract

fetched live from OpenAlex

In this article, we examine the docking of 10 analytes on the Whelk-O1 stationary phase. A proper representation of analyte flexibility is essential in the docking analysis, and analyte force fields have been developed from a series of B3LYP calculations. Molecular dynamics simulations of a representative Whelk-O1 interface, in the presence of racemic analyte and solvent, form the basis of the analysis of chiral selectivity. The most probable docking arrangements are identified, the energy changes upon docking are evaluated, and separation factors are predicted. From comparisons between the analytes, the mechanism of chiral selectivity is divided into contributions from hydrogen bonding, ring-ring interactions, steric hindrance, and molecular flexibility. We find that both hydrogen bonding and ring-ring interactions are necessary to localize the analyte within the Whelk-O1 cleft region. We also identify one docking mechanism that is often dominant and analyze the conditions that lead to alternate docking modes.

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)0.001
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 score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
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 head0.027
GPT teacher head0.286
Teacher spread0.259 · 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

Citations58
Published2008
Admission routes1
Has abstractyes

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