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  • correlation analysis  (2)
  • 42.75
  • 2000-2004  (2)
  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Journal of inclusion phenomena and macrocyclic chemistry 36 (2000), S. 409-423 
    ISSN: 1573-1111
    Keywords: host-guest systems ; linear regression ; molecular descriptors ; statistical models ; correlation analysis
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Notes: Abstract In the present work, linear regression models for theprediction of the free energies of complexationbetween guest molecules and β-cyclodextrin arededuced. For 70 compounds (mostly pharmaca), theexperimentally determined 1 : 1 stability constants aretransformed into the respective free energies, whichare then correlated with molecular descriptors. The statistically significant descriptors, which leadto models with remarkable predictive power, indicatethat besides volume, shape and lipophilicity, whichhave the largest contribution to the complexationenergy, complexation is also significantly influencedby the flexibility and the hydrogen bonding capacityof the guest molecule.
    Type of Medium: Electronic Resource
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  • 2
    ISSN: 1573-904X
    Keywords: QSPR, Quantitative Structure-Property Relationship ; correlation analysis ; regression models ; molecular modeling
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Notes: Abstract Purpose. In the present paper, linear and nonlinear models forcomplexation of α- β- and γ-cyclodextrin with guest molecules are developed,with the aim of free energy prediction and interpretation of theassociation process. Methods. Linear and nonlinear regression is used to correlateexperimental free energies of complexation with calculated moleculardescriptors. Molecular modeling supports the interpretation of the results. Results. Highly predictive models are obtained, although the structuralvariability of the compounds used for their deduction is large, reachingfrom synthetic heterocycles to steroids and prostaglandins. Conclusions. The scaled regression coefficients give insight to thecomplexation mechanisms, which appear to be different for the threetypes of cyclodextrins.
    Type of Medium: Electronic Resource
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