Objective: Drug half-life (t1/2) is one of the key pharmacokinetic parameters for establishment of dosing regimen. Surprisingly, the relationship between the chemical structure and t1/2 is still poorly explored. The aim of the present study is to derive quantitative structure – pharmacokinetic relationships (QSPkRs) for t1/2 of acidic drugs. Methods: The dataset consisted of 142 molecules which were described with 187 structural and physicochemical descriptors. A three step variable selection procedure was applied to identify the most reliable descriptors. QSPkR modeling was performed using multivariate regression analysis (MLR). Results: A number of sound and robust QSPkR models were derived. The predictive ability of the models was test...
For the rare drug that exhibits a single half life in its elimination and is dosed via intravenous b...
Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, p...
Quantitative Structure Activity Relationship (QSAR) has important role in drug development that is i...
The purpose of this study was to develop a quantitative structure-activity relationship (QSAR) for t...
An estimate of volume of distribution (Vd) is of paramount importance both in drug choice as well as...
ABSTRACT: The volume of distribution (VD) is one of the most important pharmacokinetic parameters of...
Objective: Prediction of pharmacokinetic behaviour of new candidate drugs is an important step in dr...
Since the majority of lead compounds identified for drug clinical trials fail to reach the market du...
Reliable prediction of two fundamental human pharmacokinetic (PK) parameters, systemic clearance (CL...
The objective of the article was to perform a predictive analysis, based on quantitative structure-p...
Oral dosing is the most common method of drug administration, and final plasma concentrations of the...
The half-life of a drug is the time that it takes for the amount of drug in the body to be reduced b...
Early pharmacokinetic optimisation is a key principle in drug discovery and development. Modeling ab...
The biopharmaceutical profile of a compound depends directly on the dissociation constants of its ac...
Background: Elimination half-life is an important pharmacolcinetic parameter that determines exposur...
For the rare drug that exhibits a single half life in its elimination and is dosed via intravenous b...
Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, p...
Quantitative Structure Activity Relationship (QSAR) has important role in drug development that is i...
The purpose of this study was to develop a quantitative structure-activity relationship (QSAR) for t...
An estimate of volume of distribution (Vd) is of paramount importance both in drug choice as well as...
ABSTRACT: The volume of distribution (VD) is one of the most important pharmacokinetic parameters of...
Objective: Prediction of pharmacokinetic behaviour of new candidate drugs is an important step in dr...
Since the majority of lead compounds identified for drug clinical trials fail to reach the market du...
Reliable prediction of two fundamental human pharmacokinetic (PK) parameters, systemic clearance (CL...
The objective of the article was to perform a predictive analysis, based on quantitative structure-p...
Oral dosing is the most common method of drug administration, and final plasma concentrations of the...
The half-life of a drug is the time that it takes for the amount of drug in the body to be reduced b...
Early pharmacokinetic optimisation is a key principle in drug discovery and development. Modeling ab...
The biopharmaceutical profile of a compound depends directly on the dissociation constants of its ac...
Background: Elimination half-life is an important pharmacolcinetic parameter that determines exposur...
For the rare drug that exhibits a single half life in its elimination and is dosed via intravenous b...
Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, p...
Quantitative Structure Activity Relationship (QSAR) has important role in drug development that is i...