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Record W2792578141 · doi:10.1002/1873-3468.13021

Structural and histone binding studies of the chromo barrel domain of <scp>TIP</scp> 60

2018· article· en· W2792578141 on OpenAlexafffund
Yuzhe Zhang, Ming Lei, Xiajie Yang, Yue Feng, Yuan Yang, P. Loppnau, Yanjun Li, Yi Yang, Jinrong Min, Yanli Liu

Bibliographic record

VenueFEBS Letters · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicUbiquitin and proteasome pathways
Canadian institutionsStructural Genomics ConsortiumUniversity of Toronto
FundersBiological and Environmental ResearchNational Natural Science Foundation of ChinaWellcome TrustOntario Ministry of Research, Innovation and ScienceOntario GenomicsFundação de Amparo à Pesquisa do Estado de São PauloGenome CanadaNovartis PharmaCanada Foundation for InnovationOntario Genomics InstituteAbbVieEuropean Federation of Pharmaceutical Industries and AssociationsMerck KGaAUniversity of ChicagoPfizerBoehringer IngelheimArgonne National LaboratoryU.S. Department of Energy
KeywordsIsothermal titration calorimetryHistoneChemistryHistone acetyltransferaseAcetylationBiophysicsBiochemistryPeptideBiologyDNA

Abstract

fetched live from OpenAlex

Tat-interactive protein 60 consists of an N-terminal chromo barrel domain (TIP60-CB) and a C-terminal acetyltransferase domain and acetylates histone and nonhistone proteins in diverse cellular processes. While TIP60-CB is thought to recognize histone tails, molecular details of this interaction remain unclear. Here, we attempted a quantitative analysis of the interaction between the human TIP60-CB and histone peptides, but did not observe any detectable binding by either fluorescence polarization or isothermal titration calorimetry assays. We also determined the crystal structure of the TIP60-CB alone. Analysis of the apo-structure reveals a putative peptide-binding site that might be occluded by the basic side chain of a residue in a unique β hairpin between the two N-terminal strands of the β barrel, leading to the inability of TIP60-CB to bind histones.

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 score0.004
Threshold uncertainty score0.309

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 studies0.0000.001
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 head0.018
GPT teacher head0.264
Teacher spread0.246 · 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

Citations14
Published2018
Admission routes2
Has abstractyes

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