CGS 35601, a Triple Inhibitor of Angiotensin Converting Enzyme, Neutral Endopeptidase and Endothelin Converting Enzyme
Bibliographic record
Abstract
CGS 35601 (L-tryptophan, N-[[1-[[(2S)-2-mercapto-4-methyl-1-oxopentyl]amino]-cyclopentyl]carbonyl]) is one of a few single molecules capable of inhibiting the activities of angiotensin-converting enzyme (ACE), neutral endopeptidase (NEP) and endothelin converting enzyme (ECE) simultaneously, with IC(50) values of 22, 2, and 55 nM, respectively. Through the inhibition of ACE and ECE, it blocks the conversion of angiotensin I (AI) and big endothelin-1 (big ET-1) into the two most potent peptidic vasoconstrictors, angiotensin II (AII) and ET-1, respectively. By inhibiting NEP, CGS 35601 also prevents the degradation of peptidic vasodilators such as bradykinin (BK), natriuretic peptides (NPs) and adrenomedullin (ADM) and, hence, modulates the secondary release of other vasoactive mediators such as nitric oxide (NO) and prostaglandins. In chronic (30 days) experiments, CGS 35601 is well tolerated with a very good safety profile in healthy normotensive, hypertensive and type 2 diabetic rats. The antihypertensive efficacy of CGS 35601 was demonstrated in chronically instrumented, unrestrained and conscious rat models of hypertension (SHR and DSS) and type 2 diabetes (ZDF-fatty). It lowered blood pressure effectively as well as modulated plasma concentrations of a number of circulating vasoactive peptidic mediators that are keys to the regulation of the vascular tone. These data suggest that CGS 35601, a triple vasopeptidase inhibitor (VPI), may represent a novel class of antihypertensive drugs and may have the potential to reduce morbidity and mortality from cardiovascular disorders, diabetes and subsequent renal complications. Similar in vivo ACE, NEP, and ECE inhibitory activities were also observed with the orally active prodrug, CGS 37808 (L-tryptophan, N-[[1-[[(2S)-2-(acetylthio)-4-methyl-1-oxopentyl]amino]cyclopentyl]-carbonyl]-, methyl ester.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".