Development of Novel In Silico Model to Predict Corneal Permeability for Congeneric Drugs: A QSPR Approach. (3rd February 2010)

• Record Type: Journal Article
• Authors: Sharma, Charu; Velpandian, Thirumurthy; Biswas, Nihar Ranjan; Nayak, Niranjan; Vajpayee, Rasik Bihari; Ghose, Supriyo
• Other Names: El-Kadi Ayman Academic Editor.
• Is Part Of: Journal of biomedicine and biotechnology. Volume 2011(2011)
• Publication Date: 2010-02-03
• Subjects: Medicine -- Periodicals; Biology -- Periodicals; Biotechnology -- Periodicals; Medicine; Biology; Biotechnology; Médecine; Biologie; Biotechnologie; Biology; Biotechnology; Medicine; Biotechnology; Biomedicine; Electronic journals; Periodical; Periodicals; Electronic journals; 610
• DOI: 10.1155/2011/483869
• Languages: English
• ISSNs: 1110-7243

Abstract

Abstract : This study was undertaken to determine in vivo permeability coefficients for fluoroquinolones and to assess its correlation with the permeability derived using reported models in the literature. Further, the aim was to develop novel QSPR model to predict corneal permeability for fluoroquinolones and test its suitability on other training sets. The in vivo permeability coefficient was determined using cassette dosing ( N-in-One ) approach for nine fluoroquinolones (norfloxacin, ciprofloxacin, lomefloxacin, ofloxacin, levofloxacin, sparfloxacin, pefloxacin, gatifloxacin, and moxifloxacin) in rabbits. The correlation between corneal permeability derived using in vivo studies with that derived from reported models was determined. Novel QSPR-based model was developed using in vivo corneal permeability along with other molecular descriptors. The suitability of developed model was tested onβ -blockers (n = 15 ). The model showed better prediction of corneal permeability for fluoroquinolones( r 2 > 0.9 ) as well asβ -blockers( r 2 > 0.6 ) . The newly developed QSPR model based upon in vivo generated data was found suitable to predict corneal permeability for fluoroquinolones as well as other sets of compounds.