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Record W2399674092 · doi:10.1007/978-1-62703-230-8_7

Purification and Stable Isotope Labeling of the Calcium- and Integrin-Binding Protein 1 for Structural and Functional NMR Studies

2012· article· en· W2399674092 on OpenAlexafffund
Hao Huang, Hans J. Vogel

Bibliographic record

VenueMethods in molecular biology · 2012
Typearticle
Languageen
FieldMedicine
TopicErythrocyte Function and Pathophysiology
Canadian institutionsUniversity of CalgaryLunenfeld-Tanenbaum Research InstituteMount Sinai Hospital
FundersCanadian Institutes of Health Research
KeywordsCalcium-binding proteinIntegrinChemistryCalciumIsotopeIsotopes of calciumStable isotope ratioBiophysicsBiochemistryBiologyOrganic chemistryReceptorPhysics

Abstract

fetched live from OpenAlex

The Calcium- and Integrin-Binding protein 1 (CIB1) has been identified as an important regulatory Ca(2+)-binding protein that is involved in various cellular functions. Nuclear Magnetic Resonance (NMR) spectroscopy provides a powerful approach to study the structure, dynamics, and interactions of CIB1 and related proteins. Multidimensional NMR spectroscopy combined with various selective isotope labeling strategies has proven to be successful in the structure determination of CIB1. Moreover, the same approach allowed the detection of conformational changes when the protein binds different metal ions, and it facilitated the study of the interaction of CIB1 with the cytoplasmic domain of the human integrin αIIb subunit. In this protocol, we describe the purification and isotope labeling strategies for productive NMR studies of CIB1. The same isotope labeling strategies can be implemented to study numerous related regulatory calcium-binding proteins.

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)0.001
metaresearch head score (Gemma)0.001
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: none
Teacher disagreement score0.505
Threshold uncertainty score0.225

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.084
GPT teacher head0.412
Teacher spread0.329 · 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".

Quick stats

Citations3
Published2012
Admission routes2
Has abstractyes

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