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Record W2117045629 · doi:10.2174/138920312803582942

Recent Advances in Structure and Function Studies on Human Bitter Taste Receptors

2012· review· en· W2117045629 on OpenAlexaff
Sai P. Pydi, Jasbir Upadhyaya, Nisha Singh, Rajinder P. Bhullar, Prashen Chelikani

Bibliographic record

VenueCurrent Protein and Peptide Science · 2012
Typereview
Languageen
FieldNursing
TopicBiochemical Analysis and Sensing Techniques
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsG protein-coupled receptorReceptorHomology modelingGPR120BiologyTasteLigand (biochemistry)Taste receptorSubfamilyComputational biologyFunction (biology)Cell biologyBiochemistryGene

Abstract

fetched live from OpenAlex

Humans are capable of sensing five basic tastes and of these, bitter taste sensation alone, is mediated by a large group of 25 cell surface proteins known as, bitter taste receptors (T2Rs). T2Rs belong to the G-protein coupled receptor (GPCR) superfamily. However, they share little homology with the large subfamily of Class A GPCRs. Very little progress has been made in understanding the dynamics of T2R activation, and in discovery of molecules that can block (bitter blockers) T2R activation. Only recently few structure-function studies focused on elucidating the ligand binding mechanisms of T2Rs have been published. Here we will discuss the roles of conserved amino acids in T2R structure-function, possible mechanisms of activation of T2Rs, and compare and contrast with the recent crystal structures of the Class A GPCRs. Keywords: G-protein coupled receptors (GPCRs), bitter taste receptors (T2Rs), structure-function analysis, T2R heterologous expression, T2R ligand binding, T2R receptor activation mechanism(s), bitter blockers, receptor-expressing cells, Extra-Oral Tissues, GPCRs

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.002

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 head0.114
GPT teacher head0.405
Teacher spread0.291 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations32
Published2012
Admission routes1
Has abstractyes

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