A three-year PhD studentship at the interface of molecular simulation and crystallography will be available at the University of Orléans, starting in October 2009. The research work will be done at the Synchrotron SOLEIL, 20 km from Paris.

Applicants should have a masters degree in physics or a related field and should have some experience in working with computers. Please send applicatons by e-mail, including a CV and a list of referees, to Konrad Hinsen <hin...@cnrs-orleans.fr>. The deadline for applications is June 15. For more information about the research group, see its Web site at http://dirac.cnrs-orleans.fr/.

Thesis subject:

Macromolecular crystallography is well known as a technique for obtaining the structure of biological macromolecules (proteins, DNA, RNA) and their complexes. However, it also provides information about the structural flexibility of these molecules, which remain barely exploited at the moment. The flexibility is of significant interest in biology because many biological processes depend on it. For example, an enzyme has to be flexible in order to adapt itself to the molecule whose chemical transformation it catalyzes.

In the diffraction images that are obtained when a macromolecular crystal is exposed to an X-ray beam, one can easily detect deviations from the theoretical images that would be obtained for a perfect crystal. These deviations are due partly to crystal defects, but also to the flexibility of the molecules. Traditionally, macromolecular crystallography concentrates on obtaining the molecular structure and eliminates in the course of data processing much of the information about flexibility and crystal defects. One reason for this is that the data quality used to be insufficient for a more detailed description of flexibility. A modern synchrotron light source is required for obtaining more precise images that permit an analysis of macromolecular flexibility.

The topic of the proposed thesis is the development of new methods for the interpretation of crystallographic data with the goal of separating crystal defects and flexibility and of characterizing the latter. These techniques will be based on molecular simulation, a method that is becoming increasingly important in the interpretation of experimental data. Molecular simulation makes it possible to describe a macromolecular crystal in more detail than the simpler models currently used in crystallography, at the price of a higher computational effort. In the course of the thesis work, the student will have the opportunity to acquire experience in molecular simulation, statistical physics, macromolecular crystallography, and scientific computing.

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