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Record W2046848273 · doi:10.1159/000126679

Identification of Receptor-Binding Pharmacophores of Growth-Hormone-Releasing Factor in Rat Adenopituitary

2008· article· en· W2046848273 on OpenAlexaff
Louise Lefrançois, Pierrette Gaudreau

Bibliographic record

VenueNeuroendocrinology · 2008
Typearticle
Languageen
FieldMedicine
TopicGrowth Hormone and Insulin-like Growth Factors
Canadian institutionsUniversité de MontréalHôpital Notre-Dame
Fundersnot available
KeywordsPharmacophoreAlanineReceptorBinding siteBiochemistryBiologyPotencyAmino acidIn vitro

Abstract

fetched live from OpenAlex

Previous structure-activity studies on growth-hormone-releasing factor (GRF) have mainly been carried out in pituitary cell culture assays. In such systems, the molecular features necessary to increase GRF receptor affinity cannot be fully distinguished from those that improve proteolytic resistance. To assess the affinity of GRF analogues, we have recently characterized [125I-Tyr10]hGRF(l-44)NH<sub>2</sub> binding to rat adenopituitary, developing a reliable binding assay in which GRF-carboxamide-related peptides are stable. In the present study, we have determined the binding affinity of two series of analogues in which the entire sequence of hGRF(1-29)NH2 was scanned with D-amino acid and alanine substitutions. To further document their potency, we have evaluated the ability of representative candidates of each series to stimulate cAMP production. In the first series, a D-amino acid substitution at Ala4, He5, Phe6, Thr7, Val13, Gin16, Leu17, Ala19, Arg20 and He26 decreased drastically the binding affinity of hGRF(1-29)NH<sub>2</sub> while it induced a smaller decrease at Tyr1, Asp3, Ser9, Tyr10, Arg11, Lys12, Leu14, Ala15, Ser18, Lys21, Leu22, Leu23, Gin24, Met27 and Ser28. Interestingly, a D-substitution in position 8 generated an analogue exhibiting a significantly greater binding affinity than hGRF(1-29)NH<sub>2</sub>, while it had no influence on hGRF(1-29)NH<sub>2</sub> affinity at Ala2, Asp25 and Arg29. Adenylate cyclase activities of [D-Tyr1], [D-Tyr10] and [D-Arg20]hGRF(1-29)NH<sub>2</sub> correlate with their binding affinity. In the second series, the largest decrease of binding affinity was observed with an alanine substitution at Tyr1, Asp3, He5, Phe6, Tyr10, Arg11, Lys12, Leu14, Leu17, Arg20 and Lys21. Replacement of Thr7, Ser9, Val13, Gin16, Ser18, Leu23, Gin24, Asp25, He26, Met27 or Arg29 by an Ala residue induced a smaller decrease of binding affinity, while it generated analogues showing a comparable affinity to hGRF(1-29)NH<sub>2</sub> at Leu22 or Ser28. An Ala-substitution significantly increased the binding affinity of hGRF(1-29)NH<sub>2</sub> at Ala8 and Ala15. Adenylate cyclase activities of [Ala9], [Ala16], [Ala17], [Ala18], [Ala20], [Ala22], [Ala26] and [Ala28]hGRF(1-29)NH<sub>2</sub> were also in agreement with their binding affinities. Altogether these results demonstrate that residues Ala4, Val13, Ala19 and He26 are involved in the maintenance of a hGRF(1-29)NH<sub>2</sub> structure for optimal receptor binding while residues Tyr1, Asp3, Tyr10, Arg11, Lys12, Leu14, Leu17, Arg20 and Lys21 are responsible for receptor contacts. Since the binding affinities are low for both a D- and Ala-substitution at He5 and Phe6, these two amino acids are probably important for structural and receptor contact roles. In addition, it suggests that residues involved in receptor binding are also required for receptor activation.

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 score0.162
Threshold uncertainty score0.963

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.028
GPT teacher head0.274
Teacher spread0.246 · 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

Citations13
Published2008
Admission routes1
Has abstractyes

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