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Record W2957751531 · doi:10.1101/699645

Insight into mosquito GnRH-related neuropeptide receptor specificity revealed through analysis of naturally occurring and synthetic analogs of this neuropeptide family

2019· preprint· en· W2957751531 on OpenAlexafffund
Azizia Wahedi, Gerd GÄde, Jean‐Paul Paluzzi

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2019
Typepreprint
Languageen
FieldNeuroscience
TopicNeurobiology and Insect Physiology Research
Canadian institutionsYork University
FundersUniversity of Cape TownNatural Sciences and Engineering Research Council of CanadaOntario Ministry of Research, Innovation and ScienceNational Research Foundation
KeywordsAdipokinetic hormoneAsparagineAspartic acidReceptorBiochemistrySerineBiologyAmino acidAlanineLigand (biochemistry)Neuropeptide Y receptorPeptideNeuropeptideG protein-coupled receptorChemistryStereochemistryPhosphorylation

Abstract

fetched live from OpenAlex

Abstract Adipokinetic hormone (AKH), corzazonin (CRZ) and the AKH/CRZ-related peptide (ACP) are peptides considered homologous to the vertebrate gonadotropin-releasing hormone (GnRH). All three Aedes aegypti GnRH-related neuropeptide receptors have been characterized and functionally deorphanized, which individually exhibit high specificity for their native ligands, which prompted us to investigate the contribution of ligand structures in conferring receptor specificity. In the current study, we designed a series of analogs based on the native ACP sequence in A. aegypti and screened them against the ACP receptor using a heterologous system to identify critical residues required for receptor activation. Specifically, analogs lacking the carboxy-terminal amidation, replacing aromatic residues, as well as truncated analogs were either completely inactive or had very low activities even at high concentration. The next most critical residues were the polar threonine in position 3 and the blocked amino-terminal pyroglutamate, with activity of the latter partially recovered using an alternatively blocked analog. ACP analogs with alanine substitutions at position 2 (valine), 5 (serine), 6 (arginine) and 7 (aspartic acid) positions were less detrimental as were replacements of charged residues. Interestingly, replacing asparagine with an alanine at position 9, creating a C-terminal WAA-amide, resulted in a 5-fold more active analog which may be useful as a lead superagonist compound. Similarly, we utilized this high-throughput approach against an A. aegypti AKH receptor (AKHR-IA) testing a number of mostly naturally-occurring AKH analogs from other insects to determine how substitutions of specific amino acids in the AKH ligand influences receptor activation. AKH analogs having single substitutions compared to the endogenous A. aegypti AKH revealed position 7 (serine) was well tolerated whereas changes to position 6 (proline) had pronounced effects, with receptor activity compromised nearly ten-fold. Substitution of position 3 (threonine) or analogs with combinations of substitutions were quite detrimental with a significant decrease in AKHR-IA activation. Interestingly, analogs with an asparagine residue at position seven displayed improved receptor activation compared to the native mosquito AKH. Collectively, these results advance our understanding of how two GnRH-related systems in A. aegypti sharing the most recent evolutionary origin sustain independence of function and signalling despite their relatively high degree of ligand and receptor homology.

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 head0.023
GPT teacher head0.253
Teacher spread0.230 · 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

Citations1
Published2019
Admission routes2
Has abstractyes

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