Statistical Analysis of TIBO Derivatives as Non-Nucleoside Reverse Transcriptase Inhibitors Ojha Lokendra Kumar1,*, Pandey Harsh2, Chaturvedi Ajay M.3, Bhardwaj Arpan3, Pandey Ashutosh1 1Lovely Professional University, Jalandhar, Punjab, India 2School of Medical Science and Technology, IIT, Kharagpur, India 3Govt. Madhav Science Post Graduate College, Ujjain, (MP), India *Corresponding Author E-mail: ojha.lokendra@gmail.com
Online published on 12 June, 2018. 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) η +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 (η) also plays vital role. Conclusion Statistical results shows that the proposed model is best as far as synthesis of new drug molecule is concern. Top Keywords Drug synthesis, green chemistry, computer software, TIBO and anti HIV agent. Top |