Date: September 14th, 2022
Time: 2pm BST / 3pm CEST / 9am EDT
Duration: 45 minutes
Computational methods offer an effective way to find, design and optimize new molecules. By predicting the physicochemical properties and biological activities of compounds prior to synthesis, you avoid unnecessary wet chemistry and save time and money. Cresset Discovery has been supporting scientists in the pharmaceutical, agrochemical and flavour and fragrances industries for 20 years by navigating bottlenecks and bringing fresh ideas to projects.
We will explore how complementing your internal research by outsourcing all or part of your computational chemistry can be particularly successful in accelerating the commercialization of research assets. The discussion will also explore the different ways our expert molecular modelers work with discovery teams to deliver their corporate objectives, including strategic contributions, written proposals, flexible service packages and monitoring and reporting on project progress.
- Spark new ideas that contribute to the strategic direction of your research
- Understand how molecular modeling expertise can provide intelligent an innovative solutions for your projects, without having to recruit in-house
- Avoid unnecessary wet chemistry by using computational methods to prioritize the molecules that are most likely to succeed
About the presenter
Dr Martin Slater studied medicinal chemistry at the Universities of Leeds and Huddersfield. In 1997 he joined the then start-up company BioFocus where, as Senior Research Fellow, he underpinned the SoftFocus library brand with the development of innovative chemogenomic tools and the design of over 40 commercially successful protein targeted libraries. Martin pioneered the use of Cresset’s field based technologies for targets including GPCRs, Kinases, Ion channels and Proteases for library generation and de-novo ligand design.
Martin joined Cresset in 2011 as Director of Consulting Services, delivering high quality computational chemistry and molecular modelling services to pharma, biotech, agrochemical, academia, flavors and fragrances industries amongst others.