Contiguous<i>O</i>-Galactosylation of 4(<i>R</i>)-Hydroxy-<scp>l</scp>-proline Residues Forms Very Stable Polyproline II Helices
Bibliographic record
Abstract
The hydroxyproline-rich glycoproteins (HRGPs) are the major structural proteins of the extracellular matrix of algae and land plants. They are characterized by a rigid polyproline type II (PPII) conformation and extensive O-glycosylation of 4(R)-hydroxy-l-proline (Hyp) residues, which is a unique post-translational modification of proteins. The functional consequences of HRGP glycosylation remains unclear, but they have been implicated in contributing to their structural rigidity. Here, we have investigated the effects of naturally occurring beta-O-galactosylation of Hyp residues on the conformational stability of the PPII helix. In a series of well-defined model peptides Ac-(l-proline)(9)-NH(2) (1), Ac-(Hyp)(9)-NH(2) (2), and Ac-[Hyp(beta-d-galactose)](9)-NH(2) (3) we demonstrate that contiguous O-glycosylation of Hyp residues causes a dramatic increase in the thermal stability of the PPII helix according to analysis of thermal melting curves. This represents the first quantitative data on the contributions of glycosylation to stabilizing the PPII conformation. Molecular modeling indicates the increase in conformational stability may be due to a regular network of interglycan and glycan-peptide hydrogen bonds, in which the carbohydrate residues form a hydrophilic "overcoat" of the PPII helix. Evidence of this shielding effect of the amide backbone may be provided by analysis of the circular dichroism bands, which indicates an increase in the rho value of 3 relative to 1 and 2. This study gives further insight into the effects of naturally occurring Hyp beta-O-linked glycans on the PPII conformation as found in HRGPs in plant cell walls and also indicates that polyproline sequences may be suitable for the development of molecular scaffolds for the presentation of glycan structures.
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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) | 0.000 | 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".