His-391 of β-galactosidase (<i>Escherichia coli</i>) promotes catalyes by strong interactions with the transition state
Bibliographic record
Abstract
His-391 of beta-galactosidase (Escherichia coli) was substituted by Phe, Glu, and Lys. Homogeneous preparations of the substituted enzymes were essentially inactive unless very rapid purifications were performed, and the assays were done immediately. The inactive enzymes were tetrameric, just like wild-type beta-galactosidase and their fluorescence spectra were identical to the fluorescence spectrum of wild-type enzyme. Analyses of two of the substituted enzymes that were very rapidly purified to homogeneity and rapidly assayed while they were still active (at only a few substrate concentrations so that the data could be rapidly obtained), showed that the kinetic values were very similar to the values obtained with the same enzymes that were only partially purified. This showed that the kinetics were not affected by the degree of purity and allowed kinetic analyses with partially purified enzymes so that large numbers of points could be used for accuracy. The data showed that His-391 is a very important residue. It interacts strongly with the transition state and promotes catalysis by stabilizing the transition state. Activation energy differences (deltadelta G(S) double dagger), as determined by differences in the kcat/Km values, indicated that substitutions for His-391 caused very large destabilizations (22.8-35.9 kJ/mol) of the transition state. The importance of His-391 for transition state stabilization was confirmed by studies that showed that transition state analogs are very poor inhibitors of the substituted enzymes, while inhibition by substrate analogs was only affected in a small way by substituting for His-391. The poor stabilities of the transition states caused significant decreases of the rates of the glycolytic cleavage steps (galactosylation, k2). Degalactosylation (k3) was not decreased to the same extent.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".