From Structural Genomics to Drug Discovery: Modelling the Flexibility.
Since the first course “From Structural Biology to Drug Discovery” was held in Parma in 2000, several “-omics” projects - the Genomics, Pharmacogenomics, Proteomics – have opened up great opportunities for the discovery of new targets, the characterization of abnormal protein patterns, the selection of “tailored” drugs and the evaluation of drug efficacy. Furthermore, structure-based drug design, computational methods for in silico screening and nanobiotechnology-based tools are simplifying the time-consuming and money-intensive research of lead compounds and, possibly, drugs.
In order to simulate the actual behaviour of biomolecules, we must take into account that flexibility is a key property linking structure to function. Therefore, the main theme of the 2007 course is on the physico-chemical methods that characterize biomolecules flexibility and on the computational methods that have been developed to take into account the conformational mobility in the design of ligands that bind to proteins or nucleic acids.
The Course 2007 (the fifth edition) “From Structural Genomics to Drug Discovery: Modelling the Flexibility” is designed to present:
- an overview on the fundamental concepts about the flexibility in protein function;
- how to manage data coming from x-ray crystallography and nuclear magnetic resonance normally used for virtual screening;
- the state of the art in the development of theoretical approaches to face up protein flexibility;
- computational approaches to include protein flexibility within software for in silico screening;
- experimental applications and case studies where this kind of approach has been applied.
Because of in july we had several problems with the mail server of our computing center, we ask all the people wich never received a confirmation to gently send an email to the following email addresses:
as a check.
Thanks for collaboration.
The Organizing Committee
The maximum number of participants is limited to 120 people
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