The present report focuses on the various aspects of oral delivery of anticancer drugs. The
significance of oral delivery in cancer therapeutics has been highlighted which principally …

We first review the state-of-the-art in development of log P prediction approaches falling in
two major categories: substructure-based and property-based methods. Then, we compare …

We present a group contribution method (SoluteGC) and a machine learning model
(SoluteML) to predict the Abraham solute parameters, as well as a machine learning model …

Purpose. To classify the dissolution and diffusion rate-limited drugs and establish
quantitative relationships between absorption and molecular descriptors. Methods …

Predicting the effects of organic compounds on environments and biological systems is an
important objective for environmental chemistry and human health. The logarithm (to base …

The human intestinal absorption of 241 drugs was evaluated. Three main methods were
used to determine the human intestinal absorption: bioavailability, percentage of urinary …

This review focuses on the use of linear solvation energy relationships (LSERs) to
understand the types and relative strength of the chemical interactions that control retention …

Partitioning behavior of organic chemicals has tremendous influences on their
environmental distribution, reaction rates, bioaccumulation, and toxic effects. Polyparameter …

This article provides an introduction to and review of the field of computer-aided molecular
design (CAMD). It is intended to be approachable for the absolute beginner as well as useful …

Since the publication of the first edition, the field has changed dramatically. Scientists can
now explicitly consider 3D features in quantitative structure-activity relationship (QSAR) …