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Record W2082875236 · doi:10.1107/s1744309106000996

Crystallization and preliminary X-ray diffraction analysis of the magnesium transporter CorA

2006· article· en· W2082875236 on OpenAlexafffund
Jian Payandeh, E.F. Pai

Bibliographic record

VenueActa Crystallographica Section F Structural Biology and Crystallization Communications · 2006
Typearticle
Languageen
FieldNursing
TopicMagnesium in Health and Disease
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoOntario Institute for Cancer Research
FundersBrookhaven National LaboratoryArgonne National LaboratoryCanada Research ChairsU.S. Department of Energy
KeywordsCrystallizationMagnesiumMaterials scienceX-rayDiffractionTransporterX-ray crystallographyCrystallographyMetallurgyChemistryPhysicsOpticsBiochemistryGeneOrganic chemistry

Abstract

fetched live from OpenAlex

The full-length integral membrane protein CorA from Thermotoga maritima (TmCorA(1-351)) has been expressed in Escherichia coli and purified without membrane isolation. TmCorA(1-351) crystallized in the monoclinic space group C2, with unit-cell parameters a = 214.25, b = 86.30, c = 181.53 A, beta = 112.23 degrees. Native crystals diffracted to 3.7 A using synchrotron radiation, but selenomethionine-substituted crystals rarely diffracted to better than 5.0 A. All full-length protein crystals were highly mosaic and produced anisotropic diffraction patterns. To aid in crystallographic phasing, soluble domain constructs were screened and the periplasmic domain of CorA from Archaeoglobus fulgidus (AfCorA(1-263)) was crystallized in the hexagonal space group P6(1)22, with unit-cell parameters a = b = 101.17, c = 142.87 A. Native and SeMet-substituted AfCorA(1-263) crystals diffracted to approximately 3.0 A using synchrotron radiation.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.011
GPT teacher head0.264
Teacher spread0.254 · 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

Citations10
Published2006
Admission routes2
Has abstractyes

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Same venueActa Crystallographica Section F Structural Biology and Crystallization CommunicationsSame topicMagnesium in Health and DiseaseFrench-language works237,207