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Record W2055226297 · doi:10.1039/c2mb25102g

More than just tails: intrinsic disorder in histone proteins

2012· article· en· W2055226297 on OpenAlex

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

VenueMolecular BioSystems · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Structure and Dynamics
Canadian institutionsUniversity of Alberta
FundersRussian Academy of SciencesAlberta Innovates
KeywordsIntrinsically disordered proteinsHistoneBiologyComputational biologyNucleic acidNon-histone proteinDNACell biologyGeneticsBiochemistry

Abstract

fetched live from OpenAlex

Many biologically active proteins are disordered as a whole, or contain long disordered regions. These intrinsically disordered proteins/regions are very common in nature, abundantly found in all organisms, where they carry out important biological functions. The functions of these proteins complement the functional repertoire of "normal" ordered proteins, and many protein functional classes are heavily dependent on intrinsic disorder. Among these disorder-centric functions are interactions with nucleic acids and protein complex assembly. In this study, we present the results of comprehensive bioinformatics analyses of the abundance and roles of intrinsic disorder in 2007 histones from 746 species. We show that all the members of the histone family are intrinsically disordered proteins. Furthermore, intrinsic disorder is not only abundant in histones, but is absolutely necessary for various histone functions, starting from heterodimerization to formation of higher order oligomers, to interactions with DNA and other proteins, and to posttranslational modifications.

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 categoriesMeta-epidemiology (narrow)
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 score0.112
Threshold uncertainty score1.000

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 head0.006
GPT teacher head0.251
Teacher spread0.245 · 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