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Record W4392998129 · doi:10.26434/chemrxiv-2024-q70p1

Extended sulfo-pillar[6]arenes – a new host family and its application in the binding of direct oral anticoagulants

2024· preprint· en· W4392998129 on OpenAlexafffund
Chelsea R. Wilson, Austia O. Puckett, Allen G. Oliver, Fraser Hof

Bibliographic record

VenueChemRxiv · 2024
Typepreprint
Languageen
FieldMaterials Science
TopicLanthanide and Transition Metal Complexes
Canadian institutionsUniversity of Victoria
FundersDivision of ChemistryNatural Sciences and Engineering Research Council of CanadaNational Science Foundation
KeywordsPillarHost (biology)ChemistryBusinessBiologyGeneticsEngineeringStructural engineering

Abstract

fetched live from OpenAlex

Herein we report the synthesis of extended sulfo-pillar[6]arenes, a new supramolecular host class with a pedigree in salt tolerance and ultra-high binding affinity towards multiple drug classes. The parent sulfo-pillar[6]arene (sP6) is a high affinity host with the potential to act as a supramolecular reversal agent. However, it lacks synthetic diversification of the core scaffold. The new extended sulfo-pillar[6]arenes have either a mono-directional (A1sP6) or bi-directional (A1A2sP6) extension of the hydrophobic cavity. This new functionality enables more non-covalent interactions and strong affinity towards guests, which we demonstrate using the direct oral anticoagulants (DOACs) dabigatran, betrixaban, and edoxaban. DOACs are highly prescribed therapeutics that are underexplored in host-guest chemistry. These agents prevent the formation of blood clots and reversing their action during emergencies is paramount. We show that the new hosts have ultra-high affinity to-wards dabigatran (Kd = 27 nM, A1A2sP6) in salty solutions. Their increased functionality resulted in a 6- and 2.5-fold in-crease in affinity towards betrixaban (Kd = 230 nM, A1A2sP6) and edoxaban (Kd = 800 nM, A1sP6), relative to the unfunctionalized sulfo-pillar[6]arene.

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)0.000
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 score0.046
Threshold uncertainty score0.574

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.052
GPT teacher head0.296
Teacher spread0.244 · 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
Published2024
Admission routes2
Has abstractyes

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