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Record W2332910111 · doi:10.1021/cg101290r

Structural Similarity of Hydrogen-Bonded Networks in Crystals of Isomeric Pyridyl-Substituted Diaminotriazines

2010· article· en· W2332910111 on OpenAlexaff
Adam Duong, Thierry Maris, James D. Wuest

Bibliographic record

VenueCrystal Growth & Design · 2010
Typearticle
Languageen
FieldChemistry
TopicCrystallography and molecular interactions
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsIntermolecular forceHydrogen bondCrystallographyMoleculeCrystallizationChemistryStructural similarityCrystal structureSimilarity (geometry)Group (periodic table)StereochemistryComputer science

Abstract

fetched live from OpenAlex

Crystals of isomeric pyridyl-substituted diaminotriazines 1a − c and elongated analogues 2a − b were grown under various conditions, and their structures were solved by X-ray crystallography. Analysis of the structures revealed three shared features: (1) The compounds favor flattened conformations; (2) they participate in approximately coplanar hydrogen bonding according to motifs characteristic of diaminotriazines; and (3) these interactions play a key role in directing molecular organization. Together, the consistent molecular topologies and the shared presence of a dominant site of association ensure that the compounds crystallize similarly to give structures that feature chains, tapes, and layers. In certain cases, in fact, the molecular organization adopted by different pyridyl-substituted diaminotriazines is virtually identical, even when the length of the molecule or the orientation of the pyridyl group has been changed. Together, these observations show how functional groups such as diaminotriazinyl, which can control association by forming multiple directional intermolecular interactions according to reliable patterns, can be incorporated within more complex molecular structures to determine how crystallization will occur.

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 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 score0.021
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.016
GPT teacher head0.240
Teacher spread0.224 · 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

Citations17
Published2010
Admission routes1
Has abstractyes

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