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Aim: To study the statistical technique in order to find out the mathematical modeling of anti-HIV drug. Material and Methods: 14 TIBO derivatives are taken in account for statistical approach… Click to show full abstract
Aim: To study the statistical technique in order to find out the mathematical modeling of anti-HIV drug. Material and Methods: 14 TIBO derivatives are taken in account for statistical approach MLR (multiple linear regression) to predict the best drug model.Results:pIC50= 1.2722 (±.1571) I Cl -15.5513 (±3.5856) ? +29.0977. The role of indicator parameter (I Cl i.e. Presence of -C l atom at carbon of seven member ring) is important to increase the binding affinity of the drug and so as index of refraction (?) also plays vital role. Conclusion:Statistical results shows that the proposed model is best as far as synthesis of new drug molecule is concern.
Journal Title: Research Journal of Pharmacy and Technology
Year Published: 2018
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