About the Practical Course
The course is designed to give a thorough training in the principles and practice of transient kinetics as applied to biological macromolecules.
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Transient kinetics is a well established field which has made major contributions to the understanding of both the mechanisms of enzymes and to the central role of protein-ligand and protein-protein interactions in biological processes. However it remained largely an area of study for specialists who were trained in one or more of a dozen labs around the world.
More recently the field has experienced something of resurgence for three major reasons: |
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The emergence of molecular biological methods for identifying and isolating large quantities of specific proteins has led to a number of interesting proteins in need of detailed analysis. |
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The wider recognition that biological events are defined within a given time frame (msec-sec) and that we need to study individual molecular events within this time frame. Detailed transient kinetics complements high resolution structural studies and together the two methods can give a molecular explanation of biological function. |
The commercial development of high quality, reliable transient kinetic equipment has made such techniques accessible to a wider population of scientists. The investment in the development of commercial systems had led to significant advances in both instrument sensitivity and in economy of biological materials required for such studies. |
The course is aimed at scientists (graduate students, postdocs, and established scientists) at two levels:
(a) Those who recognise that they need to use transient kinetic methods but have little formal training in these methods. This includes scientists who already have access to the equipment or who plan to acquire such technology in the near future. These participants will be encouraged to bring their own samples for use on the course.
(b) Scientists who have used fast reaction methods but who would like to explore more sophisticated experimental and data analysis approaches. These participants will be encouraged to bring either their own experimental samples to use in the practical classes or their own experimental data for analysis and interpretation. |
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