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Multiple Linear Regression Study of 2,4-Disubstituted 1,5- Benzodiazepine as Potential Antiinfectives
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نویسنده
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Bhatia Manish Sudesh ,Choudhari Prafulla Balkrishna ,Ingale Kundan Bhanudas
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منبع
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iranian journal of pharmaceutical sciences - 2010 - دوره : 6 - شماره : 3 - صفحه:199 -208
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چکیده
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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 (r^2) above 0.9 with cross-validated correlation coefficient (q^2) 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 r^2 (r^2-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.
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کلیدواژه
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Keywords: Antibacterial;1 ,5-Benzodiazepine; 3D-QSAR; Multiple linear regression.
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آدرس
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Bharati Vidyapeeth College of Pharmacy, Drug Development Sciences Research Group, Department of Pharmaceutical Chemistry, India, Bharati Vidyapeeth college of Pharmacy, Drug Development Sciences Research Group, Department of Pharmaceutical Chemistry, India, Bharati Vidyapeeth college of Pharmacy, Drug Development Sciences Research Group, Department of Pharmaceutical Chemistry, India
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Authors
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