ภาวะการรคดบกพรองเลกนอยในผสงอายเจบปวยเรอรงทมารบบรการคลนกโรคเรอรงของหนวยบรการปฐมภมแหงหนงฯMild Cognitive Impairment in Older Persons with Chronic Illness Attended at a Chronic Care Clinic of a Primary Care Unit Khon Kaen Provinc
Bibliographic record
Abstract
Allosteric behavior and substrate inhibition are unique characteristics of Lactococcus lactis prolidase. We hypothesized that charged residues (Asp36, His38, Glu39, and Arg40), present on one loop essential for catalysis, interact with residues in or near the active site to impart these unique characteristics. Asp36 has a predominant role in the allosteric behavior, as demonstrated through the non-allosteric behavior of the D36S mutant enzyme. In contrast, a double mutant (D36E/R293K) maintained the allostery, indicating that this aspartic acid residue interacts with Arg293, previously shown to be critical in the allostery. Substitution of His38 drastically reduced the substrate inhibition, and substrate specificity of the mutant at Asp36 or His38 showed the influence of these residues to the substrate specificity. These findings confirm the importance of the loop in the enzymatic reaction mechanism and suggest the existence of conformational changes of the loop structure between open and closed states. A variety of mutations at Glu39 and Arg40 showed that these residues influence roles of the loop in the enzyme reaction. On the basis of these results and combined with observations of molecular models of this prolidase, we concluded that Asp36 and His38 interact with the residues in the active site to generate an allosteric subsite and a pseudo-S(1)' site, which are responsible for the allosteric behavior and substrate inhibition.
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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 | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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; both teacher heads agree on what is shown here.
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".