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Record W2000819528 · doi:10.1016/j.dib.2014.10.001

BioID data of c-MYC interacting protein partners in cultured cells and xenograft tumors

2014· article· en· W2000819528 on OpenAlexaff
Pak-Kei Chan, Tharan Srikumar, Dharmendra Dingar, Manpreet Kalkat, Linda Z. Penn, Brian Raught

Bibliographic record

VenueData in Brief · 2014
Typearticle
Languageen
FieldChemistry
TopicAdvanced Proteomics Techniques and Applications
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMolecular biologyCell cultureHEK 293 cellsMutantDNA ligaseProteomicsBiologyCancer researchComputational biologyGeneticsDNAGene

Abstract

fetched live from OpenAlex

BioID was performed using FlagBirA⁎ (the R118G biotin ligase mutant protein) and FlagBirA⁎-Myc in HEK293 T-REx cells maintained both under standard cell culture conditions and as mouse xenografts. The mass spectrometry dataset acquired in this study has been uploaded to the MassIVE repository with ID: MSV000078518, and consists of 28 ⁎.raw MS files acquired on an Orbitrap Velos instrument, collected in data-dependent mode. iProphet processed MS/MS search results are also included as a reference. This study has been published as "BioID identifies novel c-MYC interacting partners in cultured cells and xenograft tumors", by Dingar et al. in the Journal of Proteomics, 2014 [1].

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 score0.119
Threshold uncertainty score0.402

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 science0.0010.001
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 head0.040
GPT teacher head0.338
Teacher spread0.299 · 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

Citations9
Published2014
Admission routes1
Has abstractyes

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