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Record W2098819169 · doi:10.1002/jpp.318

Steric contributions to CO binding in heme proteins: a density functional analysis of <font>FeCO</font> vibrations and deformability

2001· article· en· W2098819169 on OpenAlexaff
Pawel M. Kozlowski, Kathleen M. Vogel, MAREK Z. ZGIERSKIA, Thomas G. Spiro

Bibliographic record

VenueJournal of Porphyrins and Phthalocyanines · 2001
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHemoglobin structure and function
Canadian institutionsSteacie Institute for Molecular Sciences
FundersNational Institutes of Health
KeywordsChemistryMyoglobinCrystallographyDensity functional theoryAtom (system on chip)HemeSteric effectsMolecular vibrationInfrared spectroscopyDisplacement (psychology)Molecular physicsComputational chemistryStereochemistryMolecule

Abstract

fetched live from OpenAlex

Non-local Density Functional Theory (DFT) is applied to the calculation of geometry and vibrational frequencies of FeII (porphine)(imidazole)(CO), a model for CO adducts of heme proteins. Bond distances and angles are in agreement with crystallographic data, and frequencies are correctly calculated for C–O and Fe–C stretching and for Fe–C - O bending. This last mode is actually the out-of-phase combination of Fe–C–O bending and Fe–C tilting coordinates, which are heavily mixed because of a large bend–tilt interaction force constant. The in-phase combination is predicted at a very low frequency, 73 cm-1, and to have a low infrared intensity; attempts to detect it in far-IR spectra via 13 C 18 O isotope sensitivity have been unsuccessful. The stretch–bend interaction lowers the energy required for FeCO distortion. A soft potential may account for the wide range of crystallographically determined Fe–C–O displacements and orientations in myoglobin ( Mb ). The minimum energy path for displacement of the O atom from the heme normal was calculated by relaxing the structure while constraining only the O atom displacement from the heme normal. Energies of 0.2 to 3.5 kcal mol-1 are required for the range of reported displacement, 0.3–1.3 Å. However, vibrational spectroscopy limits the allowable displacement to the low end of this range. The O atom displacement is computed via DFT to be 0.6 Å for a 7 ° angle of the C–O stretching IR dipole relative to the heme normal, the maximum value compatible with IR polarization measurements on MbCO . FeCO distortion is predicted to diminish both ν CO and ν FeC , thereby producing deviations from the well-established backbonding correlation; the scatter of the data permits a maximum displacement of 0.5 Å. This displacement would cost about 1.6 kcal mol-1 of steric energy. A small distortion energy is consistent with the CO affinity changes produced by mutations of the distal histidine residue in Mb . Taking the leucine mutant as reference, we estimate the 1.6 kcal mol-1 affinity loss in the wild-type protein to be the resultant of a 0.0–1.6 kcal steric inhibition, a 0.5 kcal mol-1 attraction of the distal histidine sidechain for the bound CO [weak H -bond], and a 0.5–2.1 kcal mol-1 attraction of the same side-chain for a water molecule in the deoxy protein. The observed 2.3 kcal mol-1 O 2 affinity increase in the wild-type protein relative to the leucine mutant then implies a 2.8–4.4 kcal mol-1 attraction of the histidine sidechain for bound O 2, consistent with a substantial H -bond interaction with the distal histidine. Thus steric inhibition can account for only a minor fraction of the discrimination factor against CO and in favor of O 2 which is produced by the heme–myoglobin interaction.

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)0.001
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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.011
GPT teacher head0.270
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

Citations30
Published2001
Admission routes1
Has abstractyes

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