Pharmaceutical Sciences 2019

Call for Papers

Drug designing is essential and fundamental for drug discovery process. Which is performed to predict whether a given molecule will bind to the target and if so how strongly. The most used methods to predict the conformation of the small molecule and to model conformational changes are molecular mechanics or molecular dynamics.

Before a compound is being synthesized these computational methods are used to predict the affinity of the binding between the drug molecule and target site and hence based on the best affinity results the number of drug molecules to be tested is reduced, saving enormous time and cost. But, in practice, it still takes several iterations of design, synthesis, analysis before an optimal drug is discovered. This session will discuss the practical difficulties in drug targeting and design and approaches to overcome them. 

Pharmacological activity depends on adequate drug levels at the effect site, but access to these sites for pharmacokinetic sampling is often limited. Thus, we often rely on plasma concentrations as surrogates in efforts to understand exposure–response relationships. Recent advances in analytical and quantitative methodologies allow for more robust and often non-invasive assessments of drug pharmacokinetics at the site of action for better understanding of pharmacokinetic properties.