This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. It has been difficult to obtain experimental structural information on many of the proteins important in the synthesis of cell-surface oligosaccharides, glycosyltransferases, for example. Yet, many of these proteins show strong hits from computational threading programs and structures can be homology modeled. The goal of this project is to explore the use of residual dipolar coupling (RDC) data in improving the predicted structures that result. The Research Resource will be providing RDC data on model proteins to the computational group at the University of California-Santa Cruz to test their approaches to structure prediction. A long term goal is application of methods developed to carbohydrate processing proteins of unknown structure.
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