Biomedical subjects

John S Delaney

Publications and source records attributed to John S Delaney.

3 recordsLinked to original sources

PubMed2005

Predicting aqueous solubility from structure.

The aqueous solubility of a drug is one of the key physical properties that affect both its ADME profile and 'screenability' in HTS. This review critically surveys a range of methods that can be used to predict the solubility of a compound in water and presents some of the main issues that affect the applicability of different techniques. As ever, there are trade-offs to be made between the speed, accuracy and transparency of methods, but current programs can provide estimates to well within an order of magnitude in favourable cases. The need for new ways to predict solubility in more challenging systems (e.g. solvents such as DMSO and charged solutes) is discussed.

Models, Chemical↗

PubMed2005

Targeting chemical inputs and optimising HTS for agrochemical discovery.

In vivo high throughput screening (HTS) has been adopted by most of the larger crop protection companies as an important tool for the discovery of new agrochemicals. There has been a paradigm shift in capabilities from screening a few thousand compounds a year to several hundred thousand and the quantity of screening sample required has fallen dramatically. The unifying goal now bringing together screens and inputs is the need to maximise the flow of useful information from HTS and thereby minimise the time taken to discover robust leads and new products. This review examines the positive changes that have occurred towards targeted design and selection of chemical inputs for agrochemical discovery over the last ten years and corresponding developments in HTS assays, data analysis and the logistics of compound storage and dispensing.

Agrochemicals↗

PubMedDate not supplied

ESOL: estimating aqueous solubility directly from molecular structure.

This paper describes a simple method for estimating the aqueous solubility (ESOL--Estimated SOLubility) of a compound directly from its structure. The model was derived from a set of 2874 measured solubilities using linear regression against nine molecular properties. The most significant parameter was calculated logP(octanol), followed by molecular weight, proportion of heavy atoms in aromatic systems, and number of rotatable bonds. The model performed consistently well across three validation sets, predicting solubilities within a factor of 5-8 of their measured values, and was competitive with the well-established "General Solubility Equation" for medicinal/agrochemical sized molecules.

Journal Article↗