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Titel (primär) 3D-QSAR predictions for α-cyclodextrin binding constants using quantum mechanically based descriptors
Autor Linden, L.; Goss, K.-U.; Endo, S.;
Journal / Serie Chemosphere
Erscheinungsjahr 2017
Department AUC;
Band/Volume 169
Sprache englisch;
POF III (gesamt) T42;
Keywords α-Cyclodextrin (CD); Binding constant; Inclusion complex; Prediction
UFZ Querschnittsthemen RU3;
Abstract Binding of organic chemicals to α-cyclodextrin (αCD) is a typical example for host-guest complexation that is influenced by the 3D-structure of both the binding site (host) and the solute (guest). Prediction of the binding constant is challenging and requires a successful representation of the binding site-solute interactions in the 3D-space. In this study, we tested if a 3D quantitative structure activity relationship (3D-QSAR) model with quantum mechanically based local sigma profiles (LSPs) derived from the COSMOsar3D method is capable of predicting αCD binding constants from the most recent literature and how the model performs in comparison to a standard comparative molecular field analysis and to a reference 2D-QSAR. The results showed that the new 3D-QSAR model was more predictive than both reference models (RMSE 0.45 vs 0.53/0.52, R2 0.70 vs 0.53/0.68). Furthermore, only the new model captured the differences in the binding constants between structural isomers of aliphatic alcohols and allowed an extrapolation of the prediction to another literature data set. The high performance of the 3D-QSAR model with LSPs tested in this study and its theoretical robustness suggest that this modeling approach should be applicable to other binding processes including protein binding.
ID 18448
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=18448
Linden, L., Goss, K.-U., Endo, S. (2017):
3D-QSAR predictions for α-cyclodextrin binding constants using quantum mechanically based descriptors
Chemosphere 169 , 693 - 699