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Record W4415901194 · doi:10.1016/j.isci.2025.113935

Molecular insights into ligand recognition and receptor activation of GPR15

2025· article· en· W4415901194 on OpenAlexfundno aff
Shutian Chen, Limin Ma, Cuiying Yi, Xiaojing Chu, Qiuxiang Tan, Shuo Han, Qiang Zhao, Beili Wu

Bibliographic record

VenueiScience · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicReceptor Mechanisms and Signaling
Canadian institutionsnot available
FundersSingapore National Academy of ScienceNational Key Research and Development Program of China Stem Cell and Translational ResearchShanghai Institute of Materia Medica, Chinese Academy of SciencesCanadian Anesthesiologists' SocietyNational Key Research and Development Program of ChinaChinese Academy of Sciences, Shanghai BranchChinese Academy of SciencesNational Natural Science Foundation of China
KeywordsReceptorMutagenesisDocking (animal)Molecular recognitionImmune systemProtein–protein interactionLigand (biochemistry)Plasma protein binding

Abstract

fetched live from OpenAlex

protein. Combined with mutagenesis data, this structure reveals key interactions that define ligand recognition and a subpocket that governs GPR15L selectivity and receptor activation. Molecular dynamics simulations suggest that sulfation modifications in the N-terminal region of GPR15 may play a role in stabilizing the binding between GPR15 and the core region of GPR15L. Furthermore, molecular docking of some potential small-molecule antagonists suggests a conserved molecular pattern of these ligands inhibiting receptor activation. These findings provide essential insight into functional modulation of GPR15 and would facilitate development of therapeutic strategies for treatment of inflammation and immune diseases.

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 score0.023
Threshold uncertainty score0.194

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 head0.011
GPT teacher head0.242
Teacher spread0.232 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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