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Competitor analysis of functional group H-bond donor and acceptor properties using the Cambridge Structural Database
James McKenzie1, Richard P I Lewis, Christopher A Hunter
1Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK. herchelsmith.orgchem@ch.cam.ac.uk.
This study ranks functional group hydrogen-bonding (H-bonding) properties using crystal structure data. It reveals how often different groups win H-bonding competitions, offering a superior method to traditional statistics.
Area of Science:
- Crystallography
- Computational Chemistry
- Supramolecular Chemistry
Background:
- Intermolecular interactions in crystals arise from competition between functional groups.
- Energetically favorable interactions are more likely to occur.
- Previous statistical analyses of H-bonding are limited by non-random distributions of donors and acceptors in crystal structures.
Purpose of the Study:
- To analyze intermolecular interactions in the Cambridge Structural Database (CSD) as outcomes of functional group competition.
- To rank functional group hydrogen-bonding (H-bonding) properties based on their competitive success in crystal structures.
- To compare these rankings with experimental data and predict properties for unmeasured groups.
Main Methods:
- Analysis of intermolecular interactions within the CSD.
- Application of paired comparison algorithms (specifically TrueSkill) to rank functional groups.
- Comparison of calculated H-bonding rankings with experimental solution-phase parameters (β).
Main Results:
- Functional group H-bonding properties were ranked based on their frequency of winning interactions in crystal structures.
- Rankings for H-bond acceptors showed good agreement with experimental solution-phase parameters (β).
- Insufficient data was available to corroborate rankings for H-bond donors.
Conclusions:
- Paired comparison analysis of CSD data provides a robust method for ranking H-bonding properties.
- The method accurately ranks H-bond acceptors and can predict properties for unmeasured groups.
- Further data is needed to validate H-bond donor rankings obtained through this approach.
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