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Record W2950687475 · doi:10.1385/0-89603-517-4:161

Synthesis of a Versatile Peptidomimetic Scaffold

2003· article· en· W2950687475 on OpenAlexaff
Stephen Hanessian, Grant McNaughton‐Smith

Bibliographic record

VenueHumana Press eBooks · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicChemical Synthesis and Analysis
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPeptidomimeticDipeptideMetabolic stabilityCombinatorial chemistryChemistryAmino acidPeptideStereochemistryNanotechnologyMaterials scienceIn vitroBiochemistry

Abstract

fetched live from OpenAlex

The need to replace natural amino acids in peptides with nonproteinogenic counterparts in order to obtain drug-like target molecules has stimulated a great deal of innovation on several fronts (1-3). One of the more exciting areas of research in drug design has been the synthesis of so-called secondary structure peptidomimetic molecules that are expected to have the same therapeutic effects as natural peptide counterparts, with the added advantage of metabolic stability (4,5). Of particular interest to us has been the replacement of a dipeptide motif in a given natural substrate with a constrained or rigidified counterpart that stimulates β-turn formation (6,7). In particular, we have been investigating the generation of a general synthetic pathway towards a variety of substituted peptidomimetic core structures. Various appendages could then be attached to these central core units either by standard iterative conditions or, more preferably, by using combinatorial techniques. This chapter will describe the preparation of one such novel peptidomimetic nucleus and its elaboration to a fully extended β-turn peptidomimetic.

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 score0.224
Threshold uncertainty score0.432

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 head0.020
GPT teacher head0.237
Teacher spread0.217 · 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

Citations2
Published2003
Admission routes1
Has abstractyes

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