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Record W2481555121 · doi:10.1002/psc.2898

Cyclodimerization of immunosuppressive fragment of HLA‐DR molecule. Design, synthesis and ESI‐MS/MS analysis

2016· article· en· W2481555121 on OpenAlexaff
Monika Biernat, Marzena Cydzik, Piotr Stefanowicz, Alicja Kluczyk, Jolanta Artym, Michał Zimecki, Zbigniew Szewczuk

Bibliographic record

VenueJournal of Peptide Science · 2016
Typearticle
Languageen
FieldMedicine
TopicMonoclonal and Polyclonal Antibodies Research
Canadian institutionsSunnybrook HospitalSunnybrook Health Science Centre
Fundersnot available
KeywordsPeptideChemistryEthylene glycolPeptide synthesisMoleculeFragmentation (computing)StereochemistryPeptide sequenceSolid-phase synthesisCombinatorial chemistryBiochemistryOrganic chemistryBiologyGene

Abstract

fetched live from OpenAlex

The nonapeptide fragment of the HLA-DR molecule, located in the exposed loop of the alpha-chain (164-172), having the VPRSGEVYT sequence, suppresses the immune response. Based on the three-dimensional structure of the HLA-DR superdimer, we designed a new cyclodimeric analog in which the two parallel peptide chains of VPRSGEVYT sequence are linked through their C-termini by spacer of (Gly5 )2 -Lys-NH2 and the N-termini are also linked by poly(ethylene glycol). The (VPRSGEVYTG5 )2 K-resin analog was synthesized using solid-phase peptide synthesis protocols. The cyclization was achieved by cross-linking the N-terminal positions of the dimeric peptide, attached to a MBHA resin, with alpha, omega-bis (acetic acid) poly(ethylene glycol), activated by esterification with pentafluorophenol. Our results demonstrate that the cyclodimerization of VPRSGEVYT results in enhanced immunosuppressive activity of the peptide. Mass spectrometry fragmentation analysis of the obtained cyclodimeric peptide is also presented. Copyright © 2016 European Peptide Society and John Wiley & Sons, Ltd.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.153
Threshold uncertainty score0.321

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.022
GPT teacher head0.309
Teacher spread0.286 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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