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Record W4385569071 · doi:10.1002/9781119983347.ch1

Diabetes Mellitus and Natural Product‐based Drug Discovery

2023· other· en· W4385569071 on OpenAlexaboutno aff
David Newman

Bibliographic record

Venuenot available
Typeother
Languageen
FieldMedicine
TopicNatural Antidiabetic Agents Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNatural historyDiabetes mellitusType 2 Diabetes MellitusInsulinJuvenile hormoneMedicineMetforminNatural productDrug discoveryEndocrinologyBioinformaticsInternal medicineBiologyHormoneBiochemistry

Abstract

fetched live from OpenAlex

In this chapter, there is a discussion of the history of insulin discovery at the University of Toronto, Canada, in the early part of the twentieth century, which led to the ability to treat type 1 (juvenile onset; T1DM) diabetic patients with the hormone that their pancreas would not produce. In addition, reports in the mediaeval literature of the use of extracts of the herb Galega officinalis Linn. led in the early twentieth century to the initial discovery of metformin, then its rediscovery in France in the 1950s, and its much later approval in the USA in the middle of the 1990s. This chapter also discusses various classes of synthetic agents, based on being mimics of the natural substrate, even if not identified since they were direct inhibitors of the desired target enzyme/organelle. These included a derivative of the protein isolated from the lizard known as the Gila monster that mimicked the protein exendin-4, a component of the target(s) related to “adult onset” diabetes or type 2 diabetes mellitus (T2DM). There is also a discussion of the medical condition known as “Metabolic Syndrome”, which is one of the candidate routes to T2DM, demonstrating that slightly modified insulin coupled to other agents may well help in the treatment of that condition.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.326
Threshold uncertainty score0.872

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.009
GPT teacher head0.244
Teacher spread0.235 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2023
Admission routes1
Has abstractyes

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Same topicNatural Antidiabetic Agents StudiesFrench-language works237,207