Quantitative structure-pharmacokinetic relationship (QSPkR) analysis of the volume of distribution values of anti-infective agents from J group of the ATC classification in humans

antibiotics and antiviral drugs always face a threat of resistance development, which may eventually lead to therapeutic failure. Drug discovery and development is a lengthy and costly process and many drug candidates fail at the later stages of development due to poor pharmacokinetic (PK) properties, i.e., absorption, distribution, metabolism and excretion (ADME) (1). The success rate in drug discovery can be increased by predicting the PK properties of virtual molecules in the early stages and this will also reduce the cost of drug development. Computational or in silico methods are increasingly used in drug discovery to predict the properties of virtual molecules (2). Quantitative structure-activity relationships (QSARs) are mathematical models that attempt to relate the struc-