title: Improvement and analysis of computational methods for prediction of residual dipolar couplings.
abstract: We describe a new, computationally efficient method for computing the molecular alignment tensor based on the molecular shape. The increase in speed is achieved by re-expressing the problem as one of numerical integration, rather than a simple uniform sampling (as in the PALES method), and by using a convex hull rather than a detailed representation of the surface of a molecule. This method is applicable to bicelles, PEG/hexanol, and other alignment media that can be modeled by steric restrictions introduced by a planar barrier. This method is used to further explore and compare various representations of protein shape by an equivalent ellipsoid. We also examine the accuracy of the alignment tensor and residual dipolar couplings (RDC) prediction using various ab initio methods. We separately quantify the inaccuracy in RDC prediction caused by the inaccuracy in the orientation and in the magnitude of the alignment tensor, concluding that orientation accuracy is much more important in accurate prediction of RDCs.
authors.affiliation: Department of Chemistry and Biochemistry, Center for Biomolecular Structure and Organization, University of Maryland, College Park, MD 20742-3360, USA. kberlin@cs.umd.edu
authors.forename: Konstantin
authors.initials: K
authors.lastname: Berlin
authors.forename: Dianne P
authors.initials: DP
authors.lastname: O'Leary
authors.forename: David
authors.initials: D
authors.lastname: Fushman
mesh_terms: D000465:Algorithms; D001426:Bacterial Proteins / Q000737:chemistry; D002352:Carrier Proteins / Q000737:chemistry; D005544:Forecasting; D008968:Molecular Conformation; D046937:Nostoc / Q000737:chemistry; D019906:Nuclear Magnetic Resonance, Biomolecular / Q000379:methods*; D011506:Proteins / Q000737:chemistry*; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted
chemical_list: D001426:Bacterial Proteins; D002352:Carrier Proteins; D011506:Proteins; C107733:cyanovirin N
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