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Record W2015681476 · doi:10.1039/c1mb05099k

Bromodomain-peptide displacement assays for interactome mapping and inhibitor discovery

2011· article· en· W2015681476 on OpenAlexfundno aff
Martin Philpott, Jing Yang, Tony Tumber, O. Fedorov, Sagar Uttarkar, P. Filippakopoulos, S. Picaud, Tracy Keates, I. Felletar, Alessio Ciulli, Stefan Knapp, Tom D. Heightman

Bibliographic record

VenueMolecular BioSystems · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Degradation and Inhibitors
Canadian institutionsnot available
FundersBiotechnology and Biological Sciences Research CouncilCanadian Institutes of Health ResearchWellcome Trust
KeywordsBromodomainInteractomeDruggabilityHistoneAcetylationComputational biologyBiologyHistone codeDrug discoveryEpigeneticsChromatinSmall moleculeBRD4Chromatin immunoprecipitationBiochemistryChemistryNucleosomeGeneGene expressionPromoter

Abstract

fetched live from OpenAlex

Histone lysine acetylation is a key component of epigenetic regulation of gene transcription. Bromodomains, found in histone acetyl transferases and other chromatin-associated proteins, bind selectively to acetylated lysines, acting as "readers" of the histone code, and have recently been shown to contain a druggable binding pocket. Here we report the development of high-throughput assays that quantify the binding of bromodomains to acetylated histone peptides. We have used these assays to screen for histone binding partners of as yet uncharacterized bromodomains, adding to current knowledge of the histone code and expanding the repertoire of assays for chemical probe discovery. We have also demonstrated that these assays can be used to detect small molecule binding from the very weak to the nanomolar range. This assay methodology is thereby anticipated to provide the basis both for broader interactome profiling and for small molecule inhibitor discovery.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.003
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.002

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 head0.231
Teacher spread0.212 · 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 source (direct Gemma or distilled Codex), 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

Citations136
Published2011
Admission routes1
Has abstractyes

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