A description of conformational transitions in molecules is fundamental to science and technology. Knowing the pathways not only provides knowledge of the intermediates but is useful in designing protein ligands for technological or pharmaceutical purposes and in designing molecular machines. This knowledge is also often needed for calculating binding affinities in cases where conformational changes occur. Obtaining this information experimentally is difficult and/or costly, which motivates the wide use of computer simulations. However, the current methods for finding transitional paths or binding free energies for large molecular systems are limited. Promising results for smaller molecules suggest that such methods can be developed, which is the objective of this project. Robust and efficient methods will be constructed for the calculation of transitional paths and their application to biologically interesting systems such as SRC protein tyrosine kinase. Innovative techniques will be developed for obtaining reasonable first approximations and for refining them. These paths will be defined as the minimum of some functional for a well chosen set of reduced variables. In addition, pathways are often needed for the calculation of free energies of binding. The techniques developed here will be combined with a recently published free energy method that uses a restraining potential. By employing advanced sampling methods, the method will be applied to larger systems such as KID:KIX and cMyb:KIX complexes involved in DNA transcription. The methodogy will be disseminated through established contacts with software developers as well as new stand-alone software.

Understanding the activity of proteins and their interactions with drugs is needed for developing treatments for disease. The increasing power of computers makes it cost effective to do studies on the computer prior to experiments in the laboratory. However, this also requires the availability of sophisticated software employing advanced mathematics, whose development is the aim of this project.

Acknowledgments
This research is supported by the National Institutes of Health.
 

  Last updated 2007-9-22