Friday 7th June, 2013
2:30pm to 3:15pm
Hit and lead optimisation are the most expensive parts of a drug discovery program. Reliable approaches to optimization in drug-discovery remains one of the intractable problems in the field. Recent advances in matched molecular pair analysis, particularly computer algorithms which do not require human intervention, provide examples of structural changes that achieve ADMET optimisation from a sound statistical evidence base. These can be used to capture and share knowledge within large organisations across corporate and geographical boundaries. Examples of their use and solutions to some of the problems with generating such an evidence base will be presented along with some creative extensions.
Sign in to add slides, notes or videos to this session