Toll Free Helpline (India): 1800 1234 070

Rest of World: +91-9810852116

NAAS Rating: 5.03, Impact Factor: RJIF 5.98 | Free Publication Certificate
updates
NAAS Rating: 5.03 new
Vol. 5, Issue 4 (2016)

In silico quantitative structure pharmacokinetic relationships for elimination half life of antidiabetic agents

Author(s):
Sethi Reeta, Paul Yash
Abstract:
In silico quantitative structure pharmacokinetic relationships (QSPkR) enables the drug designer to predict the pharmacokinetic properties of compounds, before their actual synthesis and hence leads to a rational design of new drug. The current study was conducted to develop QSPkR for the prediction of elimination half-life (t1/2) in humans for congeneric series of antidiabetic drugs, using computer assisted Hansch approach. Analysis of several hundreds of QSPkR correlations developed in the current study on antidiabetic drugs revealed extremely high degree of cross-validated coefficients (Q2) using leave-one-out (LOO) method (p < 0.001). Topological and electronic parameters were found to primarily ascribe the variation in t1/2.
Pages: 105-107  |  607 Views  10 Downloads
How to cite this article:
Sethi Reeta, Paul Yash. In silico quantitative structure pharmacokinetic relationships for elimination half life of antidiabetic agents. 2016; 5(4): 105-107.
Journals List Click Here Research Journals Research Journals
Call for book chapter