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Record W2016306981 · doi:10.1021/jp001463u

DFT Study of Structure and Vibrations in Low-Lying Spin States of Five-Coordinated Deoxyheme Model

2000· article· en· W2016306981 on OpenAlexaff
Pawel M. Kozlowski, Thomas G. Spiro, Marek Z. Zgierski

Bibliographic record

VenueThe Journal of Physical Chemistry B · 2000
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHemoglobin structure and function
Canadian institutionsSteacie Institute for Molecular Sciences
Fundersnot available
KeywordsRaman spectroscopyChemistrySpin (aerodynamics)Molecular physicsResonance (particle physics)MoleculeMyoglobinAtomic physicsVibrationSymmetry (geometry)Spectral lineDeuteriumPhysicsQuantum mechanics

Abstract

fetched live from OpenAlex

The results of the DFT (B3LYP) calculations of the structures and force fields of the five spin states of a model deoxyheme ( C s symmetry) are presented. It is shown that axial binding of imidazole dramatically reduces the gap between the intermediate- and high-spin states, so that energy of less than 1 kcal/mol is needed to push quintet states below the triplets. The calculated structures are in a good agreement with the known structures of various deoxy models of the heme groups in myoglobin. A detailed analysis of low-frequency vibrations and their isotope shifts is given and compared with the experimental resonance Raman spectra. High-frequency CC and CN stretching modes show the observed lowering of their frequency with the increase of the core size of the molecule.

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 score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.005
GPT teacher head0.240
Teacher spread0.235 · 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

Citations54
Published2000
Admission routes1
Has abstractyes

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