title: A maximum likelihood method for determining D(a)(PQ) and R for sets of dipolar coupling data.
abstract: The algorithms available today that use dipolar coupling data for macromolecular structure determination require the independent determination of two parameters, D(a)(PQ) and R. Methods exist for obtaining these parameters when the set of dipolar couplings available is large and the orientations of the interatomic vectors on which they report is isotropically distributed. These methods are less satisfactory when the set is small and anisotropic. Described here is a maximum likelihood method that extracts accurate values for D(a)(PQ) and R from small, anisotropic data sets. Also demonstrated is a procedure for estimating the errors associated with the values of D(a)(PQ) and R obtained and for incorporating these errors into refinement protocols.
authors.affiliation: Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut 06520, USA.
authors.forename: J J
authors.initials: JJ
authors.lastname: Warren
authors.forename: P B
authors.initials: PB
authors.lastname: Moore
mesh_terms: D000465:Algorithms; D016013:Likelihood Functions; D019906:Nuclear Magnetic Resonance, Biomolecular / Q000379:methods*; D009696:Nucleic Acids / Q000737:chemistry*; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry*; D012996:Solutions
chemical_list: D009696:Nucleic Acids; D011506:Proteins; D012996:Solutions