MétaCan
Menu
Back to cohort
Record W2888230407 · doi:10.1002/pep2.24072

Solid‐phase synthesis of peptide β‐aminoboronic acids

2018· article· en· W2888230407 on OpenAlexafffund
Harjeet S. Soor, Jonas Hansen, Diego B. Diaz, Solomon D. Appavoo, Andrei K. Yudin

Bibliographic record

VenuePeptide Science · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicChemical Synthesis and Analysis
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsPeptideBoronic acidCombinatorial chemistryChemistryPeptide synthesisSolid-phase synthesisConjugateAmino acidBiochemistry

Abstract

fetched live from OpenAlex

Abstract Peptide/boronic acid conjugates are attractive scaffolds for chemical probe discovery and drug design. There are only a few reactions that allow for rapid incorporation of boron into peptides. Herein, we report a new approach towards the synthesis of peptide β‐aminoboronic acids on solid support using 2‐chlorotrityl resin and solid‐phase peptide synthesis techniques with only one purification required. Evaluation of model compounds demonstrate the stability of peptide boronic acids toward degradation at physiological pH. This straightforward conjugation process should allow access to a wide range of peptide boronic acid scaffolds for both synthetic and medicinal use.

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)0.000
metaresearch head score (Gemma)0.000
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: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.011
GPT teacher head0.319
Teacher spread0.308 · 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

Citations7
Published2018
Admission routes2
Has abstractyes

Explore more

Same venuePeptide ScienceSame topicChemical Synthesis and AnalysisFrench-language works237,207