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Record W2054979063 · doi:10.1074/jbc.c800001200

The Crystal Structure of the Human Toll-like Receptor 10 Cytoplasmic Domain Reveals a Putative Signaling Dimer

2008· article· en· W2054979063 on OpenAlexaff
T. Nyman, Pål Stenmark, S. Flodin, Ida Johansson, M. Hammarstrom, P. Nordlund

Bibliographic record

VenueJournal of Biological Chemistry · 2008
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Response and Inflammation
Canadian institutionsStructural Genomics Consortium
Fundersnot available
KeywordsDimerCytoplasmReceptorToll-like receptorDomain (mathematical analysis)TollSignal transductionCell biologyChemistryBiologyGeneticsBiochemistryInnate immune system

Abstract

fetched live from OpenAlex

The Toll/interleukin-1 receptor (TIR) domain is a highly conserved signaling domain found in the intracellular regions of Toll-like receptors (TLRs), in interleukin-1 receptors, and in several cytoplasmic adaptor proteins. TIR domains mediate receptor signal transduction through recruitment of adaptor proteins and play critical roles in the innate immune response and inflammation. This work presents the 2.2A crystal structure of the TIR domain of human TLR10, revealing a symmetric dimer in the asymmetric unit. The dimer interaction surface contains residues from the BB-loop, DD-loop, and alphaC-helix, which have previously been identified as important structural motifs for signaling in homologous TLR receptors. The interaction surface is extensive, containing a central hydrophobic patch surrounded by polar residues. The BB-loop forms a tight interaction, where a range of consecutive residues binds in a pocket formed by the reciprocal BB-loop and alphaC-helix. This pocket appears to be well suited for binding peptide substrates, which is consistent with the notion that peptides and peptide mimetics of the BB-loop are inhibitors for TLR signaling. The TLR10 structure is in good agreement with available biochemical data on TLR receptors and is likely to provide a good model for the physiological dimer.

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 score0.013
Threshold uncertainty score0.767

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.014
GPT teacher head0.235
Teacher spread0.221 · 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

Citations193
Published2008
Admission routes1
Has abstractyes

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