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Record W4401514030 · doi:10.1021/acs.jmedchem.4c01311

Domoic Acid as a Lead for the Discovery of the First Selective Ligand for Kainate Receptor Subtype 5 (GluK5)

2024· article· en· W4401514030 on OpenAlexafffund
Silke Buschbom-Helmke, Pengfei Wang, Anna Alcaide, Federico Míguez‐Cabello, Mario Carta, Julio Viotti, Birgitte Nielsen, Christophe Mulle, Derek Bowie, Flemming Steen Jørgensen, Darryl S. Pickering, Lennart Bunch

Bibliographic record

VenueJournal of Medicinal Chemistry · 2024
Typearticle
Languageen
FieldChemistry
TopicCarbohydrate Chemistry and Synthesis
Canadian institutionsMcGill University
FundersFaculty of Health and Medical Sciences, University of Western AustraliaUniversité de BordeauxCentre National de la Recherche ScientifiqueAgence Nationale de la RechercheMcGill UniversityFaculty of Medicine, McGill UniversityDet Sundhedsvidenskabelige Fakultet, Københavns UniversitetLundbeckfonden
KeywordsChemistryKainate receptorDomoic acidLigand (biochemistry)ReceptorComputational biologyBiochemistryAMPA receptorGlutamate receptor

Abstract

fetched live from OpenAlex

Twenty-one simplified analogues of the natural product domoic acid were designed, synthesized, and then characterized at homomeric kainic acid (KA) receptors (GluK1-3,5). LBG20304 displays a high affinity for homomeric GluK5 receptors (IC 50 = 432 nM) with a >40-fold selectivity over homomeric GluK1-3 subtypes and ≫100-fold selectivity over native AMPA and N -methyl d -aspartate receptors. Functional studies of LBG20304 on heteromeric GluK2/5 receptors show no agonist or antagonist functional response at 10 μM, while a concentration of 100 μM at neuronal slices (rat) shows low agonist activity. A molecular dynamics simulation of LBG20304, in a homology model of GluK5, suggests specific interactions with the GluK5 receptor and an occluded ligand binding domain, which is translated to agonist or partial agonist activity. LBG20304 is a new compound for the study of the role and function of the KA receptors with the aim of understanding the involvement of these receptors in health and disease.

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 head0.011
GPT teacher head0.250
Teacher spread0.239 · 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
Published2024
Admission routes2
Has abstractyes

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