With recent advances in structural genomics, there has been considerable interest in the rapid determination of protein structures in a high-throughput setting. One bottleneck in this process arises in protein crystallography, and deals with interpretation of the electron-density map, the three-dimensional qpictureq of the protein that crystallography produces. This thesis presents a novel solution to this important problem of electron-density map interpretation. I apply probabilistic methods to automate the interpretation of poor-quality electron-density maps.Alternatively, one could use a fixed-size sphere to align a template to the map, then compute the correlation coefficient over ... I first show the error introduced by band-limiting density templates, then I compare several different first-pass filters.
|Title||:||Probabalistic Methods for Interpreting Electron-density Maps|
|Author||:||Frank Paul DiMaio|
|Publisher||:||ProQuest - 2008|