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Record W2949739577 · doi:10.1002/cmdc.201800030

Identifying Small‐Molecule Binding Sites for Epigenetic Proteins at Domain–Domain Interfaces

2018· article· en· W2949739577 on OpenAlexfundno aff
David Bowkett, R. Talon, C. Tallant, Chris Schofield, Stefan Knapp, Gordon Bruton, Paul E. Brennan

Bibliographic record

VenueChemMedChem · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Degradation and Inhibitors
Canadian institutionsnot available
FundersH2020 European Research CouncilEshelman Institute for Innovation, University of North Carolina at Chapel HillOntario Ministry of Economic Development and InnovationWellcome TrustEuropean Federation of Pharmaceutical Industries and AssociationsAbbVieTakeda Pharmaceutical CompanyDiamond Light SourceBoehringer IngelheimJanssen PharmaceuticalsMerck KGaAMerckBayerFundação de Amparo à Pesquisa do Estado de São PauloGenome CanadaNovartis PharmaCanada Foundation for InnovationNovartisPfizer
KeywordsBromodomainEpigeneticsComputational biologyDomain (mathematical analysis)Small moleculeHistonePHD fingerDrug discoveryBinding siteBiologyChemistryBiophysicsGeneticsBioinformaticsGeneZinc fingerTranscription factor

Abstract

fetched live from OpenAlex

Epigenetics is a rapidly growing field in drug discovery. Of particular interest is the role of post-translational modifications to histones and the proteins that read, write, and erase such modifications. The development of inhibitors for reader domains has focused on single domains. One of the major difficulties of designing inhibitors for reader domains is that, with the notable exception of bromodomains, they tend not to possess a well-enclosed binding site amenable to small-molecule inhibition. As many of the proteins in epigenetic regulation have multiple domains, there are opportunities for designing inhibitors that bind at a domain-domain interface which provide a more suitable interaction pocket. Examination of X-ray structures of multiple domains involved in recognising and modifying post-translational histone marks using the SiteMap algorithm identified potential binding sites at domain-domain interfaces. For the tandem plant homeodomain-bromodomain of SP100C, a potential inter-domain site identified computationally was validated experimentally by the discovery of ligands by X-ray crystallographic fragment screening.

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 score0.030
Threshold uncertainty score0.962

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 head0.032
GPT teacher head0.279
Teacher spread0.247 · 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

Citations12
Published2018
Admission routes1
Has abstractyes

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