Assay of Dolichyl-Phospho-Mannose Synthase Reconstituted in a Lipid Matrix
Bibliographic record
Abstract
Advances in molecular biology over the last several decades, along with new highly developed methods for protein expression, have enabled investigators to produce and purify large yields of the soluble protein domains of a number of eukaryotic glycosyltransferases and processing glycosidases. The availability of these purified enzymes has in turn allowed determination of the crystal structures of the catalytic domains of some of the proteins, thus providing details of the active site geometry and catalytic mechanisms of the enzymes. It must be remembered, however, that the natural subcellular locations for enzymes involved in glycoprotein and glycolipid synthesis are the membranes of the endoplasmic reticulum and Golgi, where the enzymes exist bound to or inserted in the membrane matrix. Because of technical difficulties, few of the intact enzymes containing their hydrophobic membrane-interactive domains have been purified and studied in a membrane environment, even though the membrane has been shown to have effects on the properties and kinetics of many enzymes. Therefore, a method for the reconstitution of dolichyl-phospho-mannose (Dol-P-Man) synthase in phospholipids and phospholipid membranes will be described in detail. In order to properly characterize membrane glycosyltransferases and glycosidases, it is necessary to investigate the kinetic and catalytic properties of these proteins in a membrane environment. The ultimate goal is to define the topography of the proteins in membranes and also to understand the kinetic and catalytic properties of these enzymes in biological membranes.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".