3D Structural Homology Detection via Unassigned Residual Dipolar Couplings

Recognition of a protein’s fold provides valuable information about its function. While many sequence-based homology prediction methods exist, an important challenge remains: two highly dissimilar sequences can have similar folds — how can we detect this rapidly, in the context of structural genomics? High-throughput NMR experiments, coupled with novel algorithms for data analysis, can address this challenge. We report an automated procedure for detecting 3D-structural homologies from sparse, unassigned protein NMR data. Our method identifies the 3D-structural models in a protein structural database whose geometries best fit the unassigned experimental NMR data. It does not use sequence information and is thus not limited by sequence homology. The method can also be used to confirm or refute structural predictions made by other techniques such as protein threading or sequence homology. The algorithm runs in O(pnk3 ) time, where p is the number of proteins in the database, n is ...

• Type: Conference
• Year: 2003
• Where: CSB
• Authors: Christopher James Langmead, Bruce Randall Donald
• Keywords: CSB 2003, NMR Data, Protein, Residual Dipolar Coupling