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Record W2047059468 · doi:10.1039/c2md20161e

Analogues of the HIV-Tat peptide containing Nη-modified arginines as potent inhibitors of protein arginine N-methyltransferases

2012· article· en· W2047059468 on OpenAlex
Peter ‘t Hart, Dylan Thomas, Randy Van Ommeren, Ted M. Lakowski, Adam Frankel, Nathaniel I. Martin

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.

Bibliographic record

VenueMedChemComm · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related gene regulation
Canadian institutionsUniversity of ManitobaUniversity of British Columbia
Fundersnot available
KeywordsPeptideArginineMethylationMethyltransferaseBiochemistryEnzymeProtein arginine methyltransferase 5ChemistryBiologyAmino acidGene

Abstract

fetched live from OpenAlex

A series of Nη-modified peptides based upon the arginine-rich motif of the HIV-Tat peptide were synthesised and evaluated as substrates and inhibitors of three members of the protein arginine N-methyltransfferase (PRMT) family. PRMT1 and PRMT6 were shown to methylate each of the Tat-peptide analogues tested while PRMT4/CARM1 displayed a lower methylation activity against the same series of peptides. Kinetic assays further revealed that the Tat-peptide analogues also behave as potent substrate-inhibitors of PRMT1 and PRMT6 over specific enzyme concentration ranges. This work provides new insights into the methylating activity and inhibition of PRMTs when interacting with highly positively charged, multiple-arginine-containing peptides.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.579

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 head0.010
GPT teacher head0.242
Teacher spread0.232 · 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