Structural study of the complex between human pepsin and a phosphorus-containing peptidic transition-state analog
Bibliographic record
Abstract
The refined crystal structure of the complex between human pepsin and a synthetic phosphonate inhibitor, Iva-Val-Val-Leu(P)-(O)Phe-Ala-Ala-OMe [Iva = isovaleryl, Leu(P) = the phosphinic acid analog of L-leucine, (O)Phe = L-3-phenyllactic acid, OMe = methyl ester], is presented. The structure was refined using diffraction data between 30 and 1.96 A resolution to a final R factor ( summation operator| |F(o)| - |F(c)| | / summation operator|F(o)|, where |F(o)| and |F(c)| are the observed and calculated structure-factor amplitudes, respectively) of 20.0%. The interactions of the inhibitor with the enzyme show the locations of the binding sites on the enzyme from S4 to S3'. Modeling of the inhibitor binding to porcine pepsin shows very similar binding sites, except at S4. Comparison of the complex structure with the structures of related inhibitors bound to penicillopepsin helps to rationalize the observed differences in the binding constants. The convergence of reaction mechanisms and geometries in different families of proteinases is also discussed.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".