Applications of
Cheminformatics & Chemical Modelling
to Drug Discovery
Knapp, S



SignUp
(to Register)

Login
User Name
Password

Forgot Password?

About Brian Marsden and Stefan Knapp
Brian Marsden is the Principal Investigator in Research Informatics at the Structural Genomics Consortium (SGC) Oxford.

After a degree in Biochemistry at Cambridge, UK, Brian went to Oxford to complete a D.Phil in Biochemistry, focusing on molecular dynamics simulations of extra-cellular modular proteins and their validation by NMR relaxation data. After winning a Wellcome Trust Travelling Research Fellowship, he spent 3 years in the lab of Prof. Ruben Abagyan at the Scripps Research Institute in La Jolla, California learning the tricks of the molecular modelling trade and building large computational clusters.

A move back to the UK found him working as a team leader in Computational Chemistry at BioFocus (now BioFocus DPI, Galapagos) working on the design of ion channel focused small molecule libraries and the development of the Kinase Toolkit.

Brian joined the SGC in 2004 to run the nascent Research Informatics team. Key responsibilities and research areas of this team are IT systems development and support; maintenance of the SGC Oxford target list using advanced bespoke bioinformatics tools; novel methods in public dissemination of structural genomics data (iSee); laboratory information management systems (LIMS) development; computational chemistry and cheminformatics for focussed protein families such as protein kinases and epigenetics-related families. Tools and approaches developed by Brian and his team have been implemented at other SGC nodes as standard. Brian specialises in protein kinase informatics and computational chemistry in close collaboration with Dr. Stefan Knapp and his team at SGC Oxford.

Abstract
Insights into Kinase Structures and Ligand Design

Brian Marsden and Stefan Knapp (University of Oxford)

Structural genomics (SG) has significantly increased the number of novel protein structures of targets with medical relevance. In the protein kinase area, SG has contributed more than 50% of all novel kinase structures during the past four years and determined more than 35 novel catalytic domain structures. This has generated a wealth of freely-available reagents, assays, and inhibitor screening data which may be used for early drug development both in academic labs and in industry.

Kinase structures determined by SG provide enhanced opportunities for structural comparison within sub-families in order to expose novel structural motifs and mechanisms that may play a role in catalytic activity and activation.

Many kinase structures include co-crystallised small molecules which in some cases have exposed novel chemotypes and binding modes. These also include high-resolution structures with well-known inhibitors bound to kinases which they were not originally designed for, giving additional insight into off-pathway interactions.

In this workshop we will provide an overview summary on the current state of structural coverage of the kinome, and will discuss our ideas on how to design selective kinase inhibitors. We will present one of our most recently solved kinase structures whose features the group will visualise, explore and discuss together and which will subsequently be used as a case study during the workshop week.

News and Announcements
Advanced Workshop Week
Drug Discovery Design Methods
Oxford, 26-30 July 2010
Predictive ADME & Toxicology
Oxford, 2-6 August 2010
InterAction Meetings 2009
Advances in Drug Discovery Informatics
Philadelphia, 13-16 Oct. 2009
InnovationWell
InnovationWell Workshops
Virtual Proceedings for Members
eCheminfo 2005 InterAction Meeting
eCheminfo 2004 Conference
Featured Talks for Visitors
Open Archives as a Route for the Capture, Dissemination and Access to Chemical Information – Simon Coles, University of Southampton
Cheminfostream Blog
Cheminformatics & Community News
Sponsors
Partners

© Copyright 2004-2009 Colayer 
Colayer