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Record W2893388600 · doi:10.1002/chem.201803732

To Loop or Not to Loop: Influence of Hinge Flexibility on Self‐Assembly Outcomes for Acridine‐Based Triazolylpyridine Chelates with Zinc(II), Iron(II), and Copper(II)

2018· article· en· W2893388600 on OpenAlexafffund
Caitlin E. Miron, Olivier Fleischel, Anne Petitjean

Bibliographic record

VenueChemistry - A European Journal · 2018
Typearticle
Languageen
FieldChemistry
TopicClick Chemistry and Applications
Canadian institutionsQueen's University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAmideSupramolecular chemistryHingeChelationChemistryZincCopperSelf-assemblyMetal ions in aqueous solutionFlexibility (engineering)MetalMaterials scienceCrystallographyCombinatorial chemistryInorganic chemistryOrganic chemistryCrystal structurePhysicsMathematics

Abstract

fetched live from OpenAlex

Abstract Coordination‐driven self‐assembly has been established as an effective strategy for the efficient construction of intricate architectures in both natural and artificial systems, for applications ranging from gene regulation to metal–organic frameworks. Central to these systems is the need for carefully designed organic ligands, generally with rigid components, that can undergo self‐assembly with metal ions in a predictable manner. Herein, we report the synthesis and study of three novel organic ligands that feature 3,6‐disubstituted acridine as a rigid spacer connected to two 2‐(1,2,3‐triazol‐4‐yl)pyridine “click” chelates through hinges of the same length but differing flexibility. The flexibility of these “three‐atom” hinges was modulated by i) moving from secondary to tertiary amide functional groups and ii) replacing an sp 2 amide carbon with an sp 3 methylene carbon. In an effort to understand the role of hinge flexibility in directing self‐assembly into mononuclear loops or dinuclear cylinders, the impact of these changes on self‐assembly outcomes with zinc(II), iron(II), and copper(II) ions is described.

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 categoriesMeta-epidemiology (narrow)
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 score0.010
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.036
GPT teacher head0.306
Teacher spread0.270 · 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.

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
Published2018
Admission routes2
Has abstractyes

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