1Lovely Professional University, Jalandhar, Punjab, India
2School of Medical Science and Technology, IIT, Kharagpur, India
3Govt. Madhav Science Post Graduate College, Ujjain, (MP), India
To study the statistical technique in order to find out the mathematical modeling of anti-HIV drug.
14 TIBO derivatives are taken in account for statistical approach MLR (multiple linear regression) to predict the best drug model.
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.
Statistical results shows that the proposed model is best as far as synthesis of new drug molecule is concern.
Drug synthesis, green chemistry, computer software, TIBO and anti HIV agent
