2020
DOI: 10.1039/d0ra03394d
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A LSER-based model to predict the solubilizing effect of drugs by inclusion with cucurbit[7]uril

Abstract: A LSER model was built for predicting the solubility of inclusion complexes.

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Cited by 2 publications
(1 citation statement)
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“…[30][31][32][33] Nevertheless, their bioavailability is severely constrained by limited water solubility. It is known that the encapsulation of drug molecules using Q[n]s can improve the solubility of the guest, [34][35][36][37] we expected to use TMeQ [6] as a drug carrier for benzimidazole drug molecules to encapsulate the drug in order to augment its solubility, prolong the release time, enhance the efficacy, and achieve other desirable outcomes. Hence, it is of utmost signicance to investigate the interactions between Q[n]s and benzimidazole derivatives in the context of host-guest chemistry.…”
Section: Introductionmentioning
confidence: 99%
“…[30][31][32][33] Nevertheless, their bioavailability is severely constrained by limited water solubility. It is known that the encapsulation of drug molecules using Q[n]s can improve the solubility of the guest, [34][35][36][37] we expected to use TMeQ [6] as a drug carrier for benzimidazole drug molecules to encapsulate the drug in order to augment its solubility, prolong the release time, enhance the efficacy, and achieve other desirable outcomes. Hence, it is of utmost signicance to investigate the interactions between Q[n]s and benzimidazole derivatives in the context of host-guest chemistry.…”
Section: Introductionmentioning
confidence: 99%