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Record W2165775221 · doi:10.1038/nature14656

Crystal structure of rhodopsin bound to arrestin by femtosecond X-ray laser

2015· article· en· W2165775221 on OpenAlexafffund
Yanyong Kang, X. Edward Zhou, Xiang Gao, Yuanzheng He, Wei Liu, Andrii Ishchenko, Anton Barty, Thomas A. White, Oleksandr Yefanov, Gye Won Han, Qingping Xu, Parker W. de Waal, Jiyuan Ke, Minjia Tan, Chenghai Zhang, Arne Moeller, Graham M. West, Bruce D. Pascal, Ned Van Eps, Sergey A. Vishnivetskiy, Regina J. Lee, Kelly Suino-Powell, Xin Gu, Kuntal Pal, Jinming Ma, Xiaoyong Zhi, Sébastien Boutet, Garth J. Williams, M. Messerschmidt, Cornelius Gati, Nadia A. Zatsepin, Dingjie Wang, Daniel James, Shibom Basu, Shatabdi Roy-Chowdhury, Chelsie E. Conrad, Jesse Coe, Haiguang Liu, Stella Lisova, Christopher Kupitz, Ingo Grotjohann, Raimund Fromme, Yi Jiang, Huaiyu Yang, Jun Li, Meitian Wang, Zhong Zheng, Dianfan Li, Nicole Howe, Yingming Zhao, Jörg Standfuss, Kay Diederichs, Yuhui Dong, Clinton S. Potter, Bridget Carragher, Martin Caffrey, Hualiang Jiang, Henry N. Chapman, John C. H. Spence, Petra Fromme, Uwe Weierstall, Oliver P. Ernst, Vsevolod Katritch, Vsevolod V. Gurevich, Patrick R. Griffin, Wayne L. Hubbell, Raymond C. Stevens, Vadim Cherezov, Karsten Melcher, H. Eric Xu

Bibliographic record

VenueNature · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicReceptor Mechanisms and Signaling
Canadian institutionsUniversity of Toronto
FundersCommon FundSLAC National Accelerator LaboratoryNational Center for Research ResourcesNational Eye InstituteMichigan Technology Tri-CorridorNational Institute of Diabetes and Digestive and Kidney DiseasesOffice of ScienceNational University of Defense TechnologyMinistry of Science and Technology of the People's Republic of ChinaNational Cancer InstituteUniversity of TorontoNational Institute of General Medical SciencesBundesministerium für Bildung und ForschungNational Institutes of HealthSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungU.S. Department of EnergyHelmholtz-GemeinschaftDeutsche ForschungsgemeinschaftBrain Research FoundationScience Foundation IrelandNational Science Foundation
KeywordsRhodopsinArrestinG protein-coupled receptorHelix (gastropod)Transmembrane domainProtein structureBiophysicsBiologyFemtosecondTransmembrane proteinCrystallographyChemistrySignal transductionCell biologyLaserReceptorBiochemistryPhysicsOptics

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.014
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.247
Teacher spread0.240 · 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 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

Citations827
Published2015
Admission routes2
Has abstractno

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