Inner-Shell Excitation Spectroscopy of the Peptide Bond: Comparison of the C 1s, N 1s, and O 1s Spectra of Glycine, Glycyl-Glycine, and Glycyl-Glycyl-Glycine
Bibliographic record
Abstract
Oscillator strengths for C 1s, N 1s, and O 1s excitation spectra of gaseous glycine and the dipeptide, glycyl−glycine, have been derived from inner-shell electron energy-loss spectroscopy recorded under scattering conditions where electric dipole transitions dominate (2.5 keV residual energy, θ ≈ 2°). X-ray absorption spectra of solid glycine, glycyl−glycine, glycyl−glycyl−glycine, and a large protein, fibrinogen, were recorded in a scanning transmission X-ray microscope. The experimental spectra are assigned through interspecies comparisons and by comparison to ab initio computed spectra of various conformations of glycine and glycyl−glycine. Inner-shell excitation spectral features characteristic of the peptide bond are readily identified by comparison of the spectra of gas-phase glycine and glycyl−glycine. They include a clear broadening and a ∼0.3 eV shift of the C 1s → π* C O peak and introduction of a new pre-edge feature in the N 1s spectrum. These effects are due to 1s → π* amide transitions introduced with formation of the peptide bond. Similar changes occur in the spectra of the solids. The computational results support the interpretation of the experimental inner-shell spectra and provide insight into electron density distributions in the core excited states. Possible conformational dependence of the inner-shell excitation spectra was explored by computing the spectra of neutral glycine in its four most common conformations, and of glycyl−glycine in planar and two twisted conformations. A strong dependence of the computed C 1s, N 1s, and O 1s spectra of glycyl−glycine on the conformation about the amide linkage was confirmed by additional ab initio calculations of the conformational dependence of the spectra of formamide.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".