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Record W2002679431 · doi:10.1021/jp068988s

Structure and Dynamics of β-Cyclodextrin in Aqueous Solution at the Density-Functional Tight Binding Level

2007· article· en· W2002679431 on OpenAlexaff
Thomas Heine, Hélio F. Dos Santos, Serguei Patchkovskii, Hélio A. Duarte

Bibliographic record

VenueThe Journal of Physical Chemistry A · 2007
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicDrug Solubulity and Delivery Systems
Canadian institutionsSteacie Institute for Molecular Sciences
FundersFundação de Amparo à Pesquisa do Estado de Minas GeraisConselho Nacional de Desenvolvimento Científico e TecnológicoCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorDeutscher Akademischer Austauschdienst
KeywordsAqueous solutionCyclodextrinDynamics (music)ChemistryDensity functional theoryChemical physicsComputational chemistryPhysicsPhysical chemistryChromatography

Abstract

fetched live from OpenAlex

Structure and dynamics of beta-cyclodextrin (beta-CyD), a prototype host for inclusion compounds of biological interest, is investigated by means of density-functional based tight-binding molecular dynamics (MD) simulations. The computational protocol is benchmarked against available experimental data and first-principles calculations. Solvent-solute interactions, including the diffusion into and dwell time of the solvent in the cavity of beta-CyD, are studied with a hybrid QM/MM method. Comparison of MD simulations of beta-CyD in the gas phase and in water shows that the solvent reduces the flexibility of the structure framework, while the terminal hydroxyl groups become more flexible and are embedded in a network of hydrogen bonds. Our 160 ps MD simulations, provide enough sampling to discuss the dynamics of the water inside the cavity. The dwell time of the encapsulated water molecule has a wide distribution with a peak at 70 fs. Surprisingly, despite only the 17% difference between the "top" and "bottom" opening area of the beta-CyD cone, 64% of the water molecules enter the cavity through the slightly bigger "bottom" aperture.

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 score0.056
Threshold uncertainty score0.410

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 integrity0.0000.001
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 head0.061
GPT teacher head0.354
Teacher spread0.293 · 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

Citations39
Published2007
Admission routes1
Has abstractyes

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