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Record W2004693109 · doi:10.1002/bip.22126

The many facets of MLL1 regulation

2012· review· en· W2004693109 on OpenAlex
Pamela Zhang, Elisa Bergamin, Jean‐François Couture

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBiopolymers · 2012
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related gene regulation
Canadian institutionsUniversity of Ottawa
FundersCanadian Institutes of Health Research
KeywordsMethyltransferaseLineage (genetic)Computational biologyGeneBiologyGeneticsMethylation

Abstract

fetched live from OpenAlex

In the last 20 years, we have witnessed an exponential number of evidences linking the human mixed lineage leukemia-1 (MLL1) gene to several acute and myelogenous leukemias. MLL1 is one of the founding members of the SET1 family of lysine methyltransferases and is key for the proper control of developmentally regulated gene expression. MLL1 is a structurally complex protein composed of several functional domains. These domains play pivotal roles for the recruitment of regulatory proteins. These MLL1 regulatory proteins (MRPs) dynamically interact with MLL1 and consequently control gene expression. In this review, we summarize recent structural and functional studies of MRPs and discuss emergent structural paradigms for the control of MLL1 activity.

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.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.995
Threshold uncertainty score0.719

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 science0.0000.000
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 head0.027
GPT teacher head0.302
Teacher spread0.276 · 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