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Record W2095253806 · doi:10.1271/bbb.60213

Kinetics of Renin Inhibition by Sodium Houttuyfonate Analogs

2006· article· en· W2095253806 on OpenAlexaff
Lujiang Yuan, Jianping Wu, Rotimi E. Aluko, Xiaoli Ye

Bibliographic record

VenueBioscience Biotechnology and Biochemistry · 2006
Typearticle
Languageen
FieldMedicine
TopicNephrotoxicity and Medicinal Plants
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsChemistryKineticsRenin–angiotensin systemSodiumBiologyEndocrinologyPhysicsBlood pressureOrganic chemistry

Abstract

fetched live from OpenAlex

A series of chemical analogs of sodium houttuynin, the major constituent in the volatile oil of the perennial plant Houttuynia cordata Thunb, were studied for in vitro inhibition of renin activity. At a reaction concentration of 0.196 mg/ml, each of the sodium houttuynin analogs (SHAs), viz., hexanoyl acetal sodium sulfite (SHA-C6), octanoyl acetal sodium sulfite (SHA-C8), decanoyl acetal sodium sulfite (SHA-C10), dodecanoyl acetal sodium sulfite (SHA-C12) and tetradecanoyl acetal sodium sulfite (SHA-C14), inhibited renin activity up to 34.37%, 44.03%, 79.33%, 83.04%, and 93.19% respectively. The IC50 values (the concentration of SHA that is required to reduce renin activity by 50%) of the most potent analogs were 273, 195, and 44 microM for SHA-C10, SHA-C12, and SHA-C14 respectively. Kinetic studies with SHA-14 indicated a linear mixed-type of enzyme inhibition with a Ki value of 45.35 microM. It was concluded that the SHAs constitute potentially useful ingredients for the formulation of antihypertensive products.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.005
GPT teacher head0.217
Teacher spread0.212 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations32
Published2006
Admission routes1
Has abstractyes

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