A laboratory exercise to illustrate protein–membrane interactions
Bibliographic record
Abstract
The laboratory protocol presented here takes about 3 hours to perform and investigates protein and lipid interactions. Students first purify His6 -tagged human apolipoprotein A-I (apoA-I) with Ni-NTA affinity resin in a simple batch protocol and prepare multilamellar vesicles (MLV) from pre-dried phospholipid films. When apoA-I is added to the MLV, much smaller protein/lipid nanodisc complexes are formed in some instances. Nanodisc formation can be monitored by a decrease in light-scattering intensity at 340 nm using a simple spectrophotometer. Students will observe nanodisc formation with MLV formed from the anionic phospholipid dimyristoylphosphatidyl glycerol, which pack poorly into lipid bilayers, but not with MLV formed from the zwitterionic phospholipid dimyristoyl phosphatidylcholine, which form stable bilayers. This laboratory exercise is accompanied by questions and exercises that enable students a deeper of the dimensions of apoA-I and nanodiscs as well as the biological relevance of nanodisc formation in the process of reverse cholesterol transport.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.125 | 0.058 |
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".