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Abstract

The scaled regression coefficients give insight to the complexation mechanisms, which appear to be different for the three types of cyclodextrins.

Affinity‐Based Drug Delivery

“…TA is hydrophobic and does not interact with carboxylic acid groups, [112] whereas propranolol is a fairly soluble drug that strongly interacts with acrylic networks. [113,114] Hydrogels with CD moieties present showed extended release of TA when compared with hydrogels with no CD, indicating affinity of TA with the CD cavities control release of the hydrophobic drug.…”

Development of Improved Empirical Models for Estimating the Binding Constant of a β-Cyclodextrin Inclusion Complex

“…For example, the small size of the training set of a three term model by Suzuki et al (11) may limit the predictive ability of that model. The narrow range of compounds in the training sets of two models by Klein et al (12,13) also has the same effect. Finally, the fragment based approach utilized by Suzuki et al (14) and Katritzky et al (15) restricts the types of compound that can be analyzed.…”

“…The composition of the training set is also a concern for two models developed by Klein et al (12,13). One is composed of first-order terms while the other contains both linear and non-linear terms.…”

Nanostructures and Nanostructured Networks for Smart Drug Delivery

“…The selectivity of the interactions with these materials is conditioned by the size of the cavities and the arrangement of their chemical groups. The same ring can guest a bunch of structurally related substances with similar affinity, and in consequence, the specificity of the recognition is quite limited [54]. A more biomimetic and selective approach applies the molecular imprinting technology to reproduce the small, but critical, part of the biomacromolecules responsible for the interaction with the target molecule.…”