Quantitative structure-binding relationships (QSBR) and artificial neural networks: Improved predictions in drug: Cyclodextrin inclusion complexes

International Journal of Pharmaceutics

Volumn 226, Issue 1-2, 2001, Pages 207-211

  Loukas, Yannis L ^a  

^a UNIVERSITY OF ATHENS   (Greece)

Author keywords

Artificial neural networks; QSBR

Indexed keywords

ALPHA CYCLODEXTRIN; BARBITURIC ACID DERIVATIVE; BETA CYCLODEXTRIN;

ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; COMPLEX FORMATION; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; REGRESSION ANALYSIS;

ALGORITHMS; BARBITURATES; CYCLODEXTRINS; DATABASES, FACTUAL; STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 0035845752     PISSN: 03785173     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0378-5173(01)00779-7     Document Type: Article

References (13)

1. Quantitative structure-stability relationships among inclusion complexes of cyclodextrins. I: Barbituric acid derivatives
2. Cyclodextrin inclusion complex of a new organophosphorus insecticide. Determination of stability constant with HPLC
3. Characterization and photoprotection studies of a model γ-cyclodextrin-included photolabile drug entrapped in liposomes incorporating light absorbers
4. High performance liquid chromatography in stability studies of an organophosphorus insecticide in free and complexed form and after formulation as emulsifiable concentrate. Response surface design correlation of kinetic data and parameters
5. Multiple complex formation of unstable compounds with cyclodextrins: Efficient determination and evaluation of the binding constant with improved kinetic studies
6. Multiple complex formation of fluorescent compounds with cyclodextrins: Efficient determination and evaluation of the binding constant with improved fluorometric studies
7. Understanding molecular association and isomers recognition in isomer: Cyclodextrin multiple complex formation by improved liquid-chromatographic studies
8. Applications of neural networks in structure-activity relationships of a small number of molecules
9. Cycloheptaamylose inclusion complexes of barbiturates: Correlation between proton magnetic resonance and solubility studies
10. Cycloheptaamylose-barbiturate inclusion complexes: Solubility and circular dichroism studies
11. Simultaneous determination of complexation equilibrium constants for conjugated guest species by extended potentiometric titration method: On barbiturate-beta-cyclodextrin system