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Record W2011366293 · doi:10.1021/pr070509u

The Identification and Characterization of Membranome Components

2008· article· en· W2011366293 on OpenAlexaff
Dhimankrishna Ghosh, Ron Beavis, John A. Wilkins

Bibliographic record

VenueJournal of Proteome Research · 2008
Typearticle
Languageen
FieldChemistry
TopicAdvanced Proteomics Techniques and Applications
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsIntegral membrane proteinMembrane proteinMembraneTransmembrane proteinPeripheral membrane proteinGlycoproteinBiochemistryChemistryProteomeProtein–lipid interactionMembrane glycoproteinsCytosolProteomicsCell membraneBiologyEnzymeReceptor

Abstract

fetched live from OpenAlex

Analyses of proteins from a number of proteomic studies of cell membranes have demonstrated that a significant component of the identified proteins is not predicted to contain transmembrane regions. The presence of such proteins may arise as a result of contamination of the membrane preparations or through real associations. Our aim was to identify integral proteins as well as those that are intimately associated with the microsomal membranes of K562 cells. Isolated membranes were treated under conditions reported to remove noncovalently associated 'peripheral' proteins and the residual proteins were SDS-PAGE-separated and analyzed by LC-MS/MS. Tandem lectin affinity was also examined as a complementary approach for the enrichment of membrane glycoproteins. Approximately 41% of the isolated proteins were assigned as membrane proteins based on the presence of transmembrane regions or covalent post-translational modifications that could account for membrane association. Collectively, these results indicate that there is a significant component of non integral proteins that appear to be as closely associated with membranes as integral elements.

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)0.000
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 score0.012
Threshold uncertainty score0.238

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.076
GPT teacher head0.363
Teacher spread0.288 · 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

Citations38
Published2008
Admission routes1
Has abstractyes

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