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Record W4292181517 · doi:10.26434/chemrxiv-2022-gfsfj

Identification of an endocyclic “structural pin” interaction and its significance for conformational control of macrocyclic scaffolds

2022· preprint· en· W4292181517 on OpenAlexafffund
Andrei K. Yudin, Solomon D. Appavoo, Christiaan van Campenhout, Heller Nicholas

Bibliographic record

VenueChemRxiv · 2022
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicChemical Synthesis and Analysis
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsIntramolecular forceChemistryHydrogen bondRing (chemistry)Flexibility (engineering)Conformational changeMoleculeConformational ensemblesStereochemistryMolecular conformationMolecular dynamicsComputational chemistry

Abstract

fetched live from OpenAlex

While peptide macrocycles with rigid conformations have proven to be useful in the design of chemical probes against protein targets, conformational flexibility and rapid conformational interconversion can be equally vital for biological activity. This study introduces the concept of a “structural pin”, which represents an intramolecular hydrogen bond that controls overall ring conformation and can be used to explore macrocyclic conformational energy landscape. Characterization and structural analysis of macrocycles with an endocyclic Brønsted base using NMR and molecular modelling indicates that removal of the structural pin drastically influences the conformation of the entire ring, resulting in novel states with increased conformational heterogeneity. These results suggest that local interactions around structural pins can be effective in controlling overall macrocycle conformation, offering a useful conceptual framework for stabilizing bioactive molecules.

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 score0.007

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.279
Teacher spread0.268 · 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

Citations0
Published2022
Admission routes2
Has abstractyes

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