Recent Advances in Structure and Function Studies on Human Bitter Taste Receptors
Bibliographic record
Abstract
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".