Multiple Linear Regression Study of 2,4-Disubstituted 1,5-Benzodiazepine as Potential Antiinfectives
(ندگان)پدیدآور
Manish Sudesh, BhatiaPrafulla Balkrishna, ChoudhariBhanudas, Ingale Kundanنوع مدرک
TextResearch Paper
زبان مدرک
Englishچکیده
This paper describes 3D-QSAR analysis and biological evaluation of 1,5-benzodiazepine analogues. Benzodiazepine nucleus with its simple structure gives a good opportunity for further modification regarding an increase of its antimicrobial activity. We synthesized a series of benzodiazepine analogues from condensation of various chalcones and halo substituted o-phenelynene diamines. All compounds were assayed in vitro against, E. coli, P. aeruginosa, S. aureus. The models were generated on the Vlife MDS 3.5; selected models showed a correlation coefficient (r2) above 0.9 with cross-validated correlation coefficient (q2) above 0.8, respectively, for all the selected organisms. The 3D-QSAR models generated were externally validated for all models using a test set of 6 molecules for which the predictive r2 (r2-pred) was found to be above 0.45. The results of 3D-QSAR indicate that contours can be used to design some potent antibacterial agents.
کلید واژگان
Antibacterial1,5-Benzodiazepine
3D-QSAR
Multiple Linear Regression
شماره نشریه
3تاریخ نشر
2010-07-011389-04-10
ناشر
Iranian Association of Pharmaceutical Scientistsسازمان پدید آورنده
Drug Development Sciences Research Group Department of Pharmaceutical Chemistry, BharatiVidyapeeth college of Pharmacy, Kolhapur Maharastara IndiaDrug Development Sciences Research Group Department of Pharmaceutical Chemistry, BharatiVidyapeeth college of Pharmacy, Kolhapur Maharastara India
Drug Development Sciences Research Group Department of Pharmaceutical Chemistry, BharatiVidyapeeth college of Pharmacy, Kolhapur Maharastara India




