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Introduction of Session 8, “Structural mechanism of animal rhodopsins and GPCR”

2023· article· en· W4321441168 on OpenAlexaboutno aff
Takeshi Murata

Bibliographic record

VenueBiophysics and Physicobiology · 2023
Typearticle
Languageen
FieldNeuroscience
TopicPhotoreceptor and optogenetics research
Canadian institutionsnot available
Fundersnot available
KeywordsSession (web analytics)Mechanism (biology)G protein-coupled receptorNeuroscienceComputational biologyComputer scienceBiologyCell biologyWorld Wide WebSignal transductionPhilosophy

Abstract

fetched live from OpenAlex

SudoG protein-coupled receptors (GPCRs), seven helical transmembrane proteins, are responsible for signal transduction pathways by detecting diffusible signaling molecules such as hormones, neurotransmitters and odorants.Animal rhodopsins are highly specialized photoreceptor GPCRs for vision and function via isomerization by the light absorption of retinal chromophore (as a signaling molecule).The dynamic structural information of rhodopsin and GPCRs has recently been elucidated through several types of spectroscopies and structural analyses.In the session 8 chaired by me and Dr. Gebhard F. X. Schertler from Paul Scherrer Institute, five researchers presented cutting-edge results regarding 'structural mechanism of rhodopsins and GPCRs', as described below.The first speaker was Dr. Hideaki Kato from the University of Tokyo, who discussed the 'structural and functional diversity in pump-like cation channelrhodopsins'.To optically control cell excitability, optogenetics has revolutionized neuroscience.To broaden the application of optogenetics, increasing numbers of ion-translocating rhodopsins (ion pumptype rhodopsins and ion channel-type rhodopsins) have been engineered or discovered in nature.Recently, a new type of channelrhodopsins, pump-like cation-conducting channelrhodopsins or bacteriorhodopsin-like channelrhodopsins (PLCRs or BCCRs), have been discovered and attracted broad attention due to their unique properties (e.g., large photocurrents, high light sensitivity, high ion selectivity).In his talk, he presented the cryo-EM structures of PLCRs [1] and discussed their structure-function relationships.The next speaker was Dr. Oliver P. Ernst from University of Toronto, who discussed 'activation studies of opsin and adenosine A2a receptor'.In his talk, he presented studies on the activation of the apoprotein opsin by odorants.Three crystal structures of the active conformation of opsin, Ops*, with monoterpene odorants in the orthosteric retinal binding pocket, as well as biochemical, biophysical and electron paramagnetic resonance (EPR) [2] studies reveal how these odorants can act as agonists to promote conformational changes towards Ops*.He also presented the conformational equilibrium of adenosine A2a receptor.The third speaker was Dr. Xavier Deupi from Paul Scherrer Institute, who talked about 'structure and activation of lightactivated G protein-coupled receptors'.A wealth of biophysical, functional, and structural data have made the mammalian visual low-light receptor rhodopsin a paradigm of the GPCR family.Recently, they discovered that such similarities are not limited to vertebrate rhodopsins but extend even to visual receptors from invertebrates [3].In his talk, he presented (i) a novel position for the retinal counterion in the non-bistable box jellyfish rhodopsin that is discovered by employing computational structural models validated by mutagenesis and activity assays, and (ii) the structure of an early active intermediate of bovine rhodopsin (obtained at the SwissFEL free-electron laser) suggesting that the earliest structural rearrangements upon activation already appear in regions involved in later stages of the conserved class A GPCR activation mechanism.

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 score0.298

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 head0.039
GPT teacher head0.313
Teacher spread0.274 · 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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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