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Record W1990099521 · doi:10.1186/1755-8166-7-s1-p97

In silico docking studies for designing potent anti-diabetic derivatives of swertiamarin with enzyme HMG COA reductase

2014· article· en· W1990099521 on OpenAlexaff
Jayshil Bhatt, Hitesh Vaidya, Varun Khanna, Naisargee Patel, Ramesh K. Goyal

Bibliographic record

VenueMolecular Cytogenetics · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPhytochemistry and Biological Activities
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsIn silicoDocking (animal)HMG-CoA reductasePharmacologyMedicineReductaseHuman geneticsEnzymeComputational biologyChemistryBioinformaticsBiochemistryBiology

Abstract

fetched live from OpenAlex

Background Swertiamarin, a secoiridoid glycoside is found in abundant quantity in Enicostemma Littorale herb and is the main constituent responsible for anti-diabetic and anti-obesity effects of the plant extract. It has been reported to act on various enzymes and transcription factors involved in glucose and lipid metabolism, including inhibition of the enzyme HMG-CoA reductase which might be one of the mechanisms responsible for the antihyperlipidaemic activity. However, owing to its high water solubility, it has a low plasma half life; and thus we have designed its derivatives which bind more efficiently with HMG CoA Reductase.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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.

Opus teacher head0.032
GPT teacher head0.253
Teacher spread0.220 · 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 designSimulation or modeling
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

Citations5
Published2014
Admission routes1
Has abstractyes

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