Effects of Crowding and Confinement on Enzyme Kinetics
Bibliographic record
Abstract
Reverse micelles are formed by the aggregation of water inside of a bilayer formed by a surfactant in a non-polar solvent. The nanometer scale pool of water within the reverse micelles provides an environment to study the effects of confinement on enzymes as measured by changes in kinetics. The size of these reverse micelles is directly related to the ratio of water and surfactant. We and others have been studying the effects of crowding, the presence of large concentrations of solutes, on enzyme kinetics. What effect would it have on enzyme kinetics if these solutes were added to the confined environment of the reverse micelle? We have studied the effects of confinement on alpha-chymotrypsin in a system using dioctyl sulfosuccinate (AOT) as a surfactant, isooctane as the non-polar solvent, and N-succinyl-L-phenylalanine p-nitroanilide (SPN) as the substrate. Results will be analyzed within the Michaelis-Menten framework. * Indicates faculty mentor.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".