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Record W4400130637 · doi:10.1016/j.ccr.2024.215994

Unravelling the potential of sigma hole-assisted co-crystallization: Highlighting recent developments

2024· article· en· W4400130637 on OpenAlexaff
Rafia Siddiqui, Jyoti Rani, Hatem M. Titi, Ranjan Patra

Bibliographic record

VenueCoordination Chemistry Reviews · 2024
Typearticle
Languageen
FieldChemistry
TopicCrystallography and molecular interactions
Canadian institutionsMcGill University
FundersScience and Engineering Research BoardAmity UniversityCouncil of Scientific and Industrial Research, India
KeywordsChemistryCrystallizationNanotechnologySigmaOrganic chemistry

Abstract

fetched live from OpenAlex

In the past several decades, the field of cocrystal engineering has developed into a vital research topic in supramolecular chemistry , holding the foremost scope in crystal engineering , medicinal chemistry , materials chemistry, and the pharmaceutical industry . The medium of cocrystallization has been through the classic non-covalent interactions. However, cocrystallization through sigma hole (σ-hole)-based modern interactions is a breakthrough in crystal engineering . This σ-hole mediated non-covalent interaction uniquely contributes to supramolecular chemistry through different subgroups viz halogen bonding (XB), chalcogen bonding (ChB), pnictogen bonding (PnB), and tetrel bonding (TB). Despite much potential, chalcogen bonding, pnictogen bonding, and tetrel bonding are yet at an infancy stage compared to halogen bonding. Hence, we attempted to address the great potential of these non-covalent interactions (intra- and inter-molecular) and enlighten the ChB, PnB, and TB, as their outstanding contribution to the supramolecular domain needs to be communicated. Through this account, we promote these cooperative σ-hole-based interaction synthons as attractive toolboxes in supramolecular chemistry by addressing the strength and directionality of σ-hole potential, the role of steric hindrance , different modes of characterizations, application in distinct fields, etc. We hope this work will be the medium of a new direction in advancing σ-hole-assisted interactions in different research areas. Also, chalcogen, pnictogen, and tetrel bonding could get out of the shadow of halogen bonding and get their recognition in supramolecular chemistry.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.859
Threshold uncertainty score0.999

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)0.0020.000

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 head0.027
GPT teacher head0.295
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 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

Citations26
Published2024
Admission routes1
Has abstractyes

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