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Record W2017687056 · doi:10.1021/acs.jafc.5b00882

Synthesis, Biological Activity, and Conformational Study of N-Methylated Allatostatin Analogues Inhibiting Juvenile Hormone Biosynthesis

2015· article· en· W2017687056 on OpenAlexafffund
Yong Xie, Li Zhang, Chuanliang Zhang, Xiaoqing Wu, Xile Deng, Xinling Yang, Stephen S. Tobe

Bibliographic record

VenueJournal of Agricultural and Food Chemistry · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicChemical Synthesis and Analysis
Canadian institutionsUniversity of Toronto
FundersMinistry of Science and Technology of the People's Republic of ChinaNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsJuvenile hormoneBiosynthesisChemistryStereochemistryBiochemistryBiological activityHormoneEnzymeIn vitro

Abstract

fetched live from OpenAlex

An allatostatin (AST) neuropeptide mimic (H17) is a potential insect growth regulator, which inhibits the production of juvenile hormone (JH) by the corpora allata. To determine the effect of conformation of novel AST analogues and their ability to inhibit JH biosynthesis, eight insect AST analogues were synthesized using H17 as the lead compound by N-methylation scanning, which is a common strategy for improving the biological properties of peptides. A bioassay using JH production by corpora allata of the cockroach Diploptera punctata indicated that single N-methylation mimics (analogues 1-4) showed more activity than double N-methylation mimics (analogues 5-8). Especially, analogues 1 and 4 showed roughly equivalent activity to that of H17, with IC50 values of 5.17 × 10(-8) and 6.44 × 10(-8) M, respectively. Molecular modeling based on nuclear magnetic resonance data showed that the conformation of analogues 1 and 4 seems to be flexible, whereas analogues 2 and 3 showed a type IV β-turn. This flexible linear conformation was hypothesized to be a new important and indispensable structural element beneficial to the activity of AST mimics.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.353

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.018
GPT teacher head0.226
Teacher spread0.208 · 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 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

Citations12
Published2015
Admission routes2
Has abstractyes

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