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Record W2030642787 · doi:10.1021/jp9020036

Electron Delocalization and Charge Transfer in Polypeptide Chains

2009· article· en· W2030642787 on OpenAlexaff
Zhangyu Yu, Jian Wu, Chengbu Liu

Bibliographic record

VenueThe Journal of Physical Chemistry A · 2009
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Chemical Physics Studies
Canadian institutionsDalhousie University
Fundersnot available
KeywordsDelocalized electronNatural bond orbitalIntramolecular forceSuperexchangeChemistryElectron transferAtomic orbitalElectron localization functionCrystallographyElectronCharge (physics)Amino acidComputational chemistryDensity functional theoryStereochemistryPhotochemistryIonPhysicsOrganic chemistry

Abstract

fetched live from OpenAlex

In this work, the electron structure and charge-transfer mechanism in polypeptide chains are investigated according to natural bond orbitals (NBO) analysis at the level of B3LYP/6-311++G**. The results indicate that the delocalization of electrons between neighboring peptide subgroups can occur in two opposite directions, and the delocalization effect in the direction from the carboxyl end to the amino end has an obvious advantage. As a result of a strong hyperconjugative interaction, the lowest unoccupied NBO of the peptide subgroup, pi*C-O, has significant delocalization to neighboring subgroups, and the energies of these NBOs decrease from the carboxyl end to the amino end. The formation of intramolecular O...H-N type hydrogen bonds also helps to delocalize the electron from the carboxyl end to the amino end. Thus, the electron will flow to the amino end. The superexchange mechanism is suggested in the electron-transfer process.

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 score0.042
Threshold uncertainty score0.311

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 head0.005
GPT teacher head0.237
Teacher spread0.232 · 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

Citations17
Published2009
Admission routes1
Has abstractyes

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