Structure of β-Purothionin in Membranes: A Two-Dimensional Infrared Correlation Spectroscopy Study
Bibliographic record
Abstract
Two-dimensional infrared correlation spectroscopy has been used to investigate the structure of beta-purothionin, a small basic protein found in the endosperm of wheat seeds, in the absence and presence of dimyristoylphosphatidylglycerol (DMPG) membranes. To generate the two-dimensional synchronous and asynchronous maps, hydrogen-deuterium exchange of the protein amide protons has been used as an external perturbation. This method has allowed us to separate the different secondary structure elements and side chain contributions in the regions of amide I, II, and II' bands to determine that the relative order of deuteration of the beta-purothionin protons is as follows: turns, asparagines, and lysines > unordered structure and tyrosine > beta-sheet > alpha-helices and arginines. The results also indicate that the protein undergoes significant changes both in secondary structure and in deuteration in the presence of DMPG bilayers. The helical content of beta-purothionin is higher in the presence of the lipid, and the relative order of deuteration is as follows: lysines and arginines > asparagines and beta-sheet > unordered structure and alpha-helices. The inversion in the deuteration order of the arginine residues is assigned to a change of the degree of association of the protein in the membrane. In addition, the results reveal that the part of the protein containing the tyrosine residue interacts with the lipid membrane. Our results combined with those previously published suggest that the toxicity of beta-purothionin is more associated with the formation of functional channels in cell membranes rather than with a lytic phenomenon.
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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".