Background: In the pharmaceutical sectors, the computer plays a crucial role as a commander
of all the theoretical aspects and provides a workbench to improve the overall quality of
pharmaceutical research and development. The aim of this article is to provide a computational
approach to the development of numerous technology of computer software in the field of clinical
pharmacokinetics. The computational technique practised by clinical pharmacist and scientist with
the applied knowledge and skills in dealing with clinical pharmacokinetics problems can be applied
in routine clinical practices.
Methods: To solve the various complicated pharmacokinetic equations and modeling of pharmacokinetic
processes, various software were used like Population pharmacokinetics, Individual
pharmacokinetics, Absorption, Distribution, Metabolism, and Excretion (ADME) pharmacokinetics,
in - silico pharmacokinetics like Window-Based Non-linear model fitting (WinNonlin), Statistical
Analysis Software (SAS), Non-linear Mixed Effects Modelling (NONMEM), PK Solution etc.
Results: Various software’s which was described in this paper help in the development of experimental
study designs, statistical treatment of data and various simulation studies, etc. A robust software
solution should be easy to use and address the three main parts of the PK-PD workflow like data
management, analysis, and reporting. PK-PD software’s allow researchers to predict ADME properties
of new drug entity. For the study of the pharmacokinetic, the best software is WINBUGS where
there is no limitation of dimensional array and size of the problem. The best software to be used for
individual pharmacokinetics is T.D.M.S in which, we can apply Bayesian and least square method
for curve fitting and it can be used for both linear and non-linear pharmacokinetic data.
Conclusion: Various software were discussed here. This software not only help in knowing the
history of the software but also help in gaining more knowledge about pharmacokinetics and pharmacodynamics
simulation. Different software such as population pharmacokinetic, individual
pharmacokinetic and others discussed in this article will help in the reporting and analyzing of data.
The important points to be considered while selecting the software is also discussed which will help
in easy accessing of software.