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Record W2094680016 · doi:10.1021/ja0734492

Infrared Multiple Photon Dissociation Spectroscopy as Structural Confirmation for GlyGlyGlyH<sup>+</sup> and AlaAlaAlaH<sup>+</sup> in the Gas Phase. Evidence for Amide Oxygen as the Protonation Site

2007· article· en· W2094680016 on OpenAlexafffund
Ronghu Wu, Terry B. McMahon

Bibliographic record

VenueJournal of the American Chemical Society · 2007
Typearticle
Languageen
FieldChemistry
TopicMass Spectrometry Techniques and Applications
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsChemistryProtonationInfrared multiphoton dissociationDissociation (chemistry)Hydrogen bondMoleculeAmidePhotochemistryProton affinityInfrared spectroscopySpectroscopyTripeptideOxygenCrystallographyStereochemistryPhysical chemistryAmino acidOrganic chemistry

Abstract

fetched live from OpenAlex

Protonation sites in biological molecules are very important because they directly determine their structures, properties, and functions. The protonation sites and structures of the tripeptides of Gly and Ala have been investigated using infrared multiple photon dissociation (IRMPD) spectroscopy in combination with theoretical calculations. The experimental and calculated results indicate that two isomers coexist under the experimental conditions. Different protonation sites result in the different structures. If the excess proton is bound to the amino group, a cyclic structure is formed, in which the N-terminus and carbonyl oxygen of the C-terminus are linked by a strong hydrogen bond. In contrast, if the excess proton is bound to the amide carbonyl oxygen, a linear structure is formed in which a very strong hydrogen bond is formed, linking the two amide carbonyls. For the first time, IR spectroscopic evidence confirms that an amide oxygen may serve as the protonation site for peptides.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.017
GPT teacher head0.327
Teacher spread0.310 · 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 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

Citations103
Published2007
Admission routes2
Has abstractyes

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Same venueJournal of the American Chemical SocietySame topicMass Spectrometry Techniques and ApplicationsFrench-language works237,207