Formation, isomerization, and dissociation of ε- and α-carbon-centered tyrosylglycylglycine radical cations
Bibliographic record
Abstract
The fragmentation products of the ε-carbon-centered radical cations [Y(ε)˙LG](+) and [Y(ε)˙GL](+), made by 266 nm laser photolysis of protonated 3-iodotyrosine-containing peptides, are substantially different from those of their π-centered isomers [Y(π)˙LG](+) and [Y(π)˙GL](+), made by dissociative electron transfer from ternary metal-ligand-peptide complexes. For leucine-containing peptides the major pathway for the ε-carbon-centered radical cations is loss of the side chain of the leucine residue forming [YG(α)˙G](+) and [YGG(α)˙](+), whereas for the π-radicals it is the side chain of the tyrosine residue that is lost, giving [G(α)˙LG](+) and [G(α)˙GL](+). The fragmentations of the product ions [YG(α)˙G](+) and [YGG(α)˙](+) are compared with those of the isomeric [Y(ε)˙GG](+) and [Y(π)˙GG](+) ions. The collision-induced spectra of ions [Y(ε)˙GG](+) and [YGG(α)˙](+) are identical, showing that interconversion occurs prior to dissociation. For ions [Y(ε)˙GG](+), [Y(π)˙GG](+) and [YG(α)˙G](+) the dissociation products are all distinctly different, indicating that dissociation occurs more readily than isomerization. Density functional theory calculations at B3LYP/6-31++G(d,p) gave the relative enthalpies (in kcal mol(-1) at 0 K) of the five isomers to be [Y(ε)˙GG](+) 0, [Y(π)˙GG](+) -23.7, [YGG(α)˙](+) -28.7, [YG(α)˙G](+) -31.0 and [Y(α)˙GG](+) -38.5. Migration of an α-C-H atom from the terminal glycine residue to the ε-carbon-centered radical in the tyrosine residue, a 1-11 hydrogen atom shift, has a low barrier, 15.5 kcal mol(-1) above [Y(ε)˙GG](+). By comparison, isomerization of [Y(ε)˙GG](+) to [YG(α)˙G](+) by a 1-8 hydrogen atom migration from the α-C-H atom of the central glycine residue has a much higher barrier (50.6 kcal mol(-1)); similarly conversion of [Y(ε)˙GG](+) into [Y(π)˙GG](+) has a higher energy (24.4 kcal mol(-1)).
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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".