title: Chemically accurate protein structures: validation of protein NMR structures by comparison of measured and predicted pKa values.
abstract: A new method is presented for evaluating the quality of protein structures obtained by NMR. This method exploits the dependence between measurable chemical properties of a protein, namely pKa values of acidic residues, and protein structure. The accurate and fast empirical computational method employed by the PROPKA program ( http://www.propka.chem.uiowa.edu) allows the user to test the ability of a given structure to reproduce known pKa values, which in turn can be used as a criterion for the selection of more accurate structures. We demonstrate the feasibility of this novel idea for a series of proteins for which both NMR and X-ray structures, as well as pKa values of all ionizable residues, have been determined. For the 17 NMR ensembles used in this study, this criterion is shown effective in the elimination of a large number of NMR structure ensemble members.
authors.affiliation: Department of Chemistry, University of Iowa, Iowa City, 52242, USA.
authors.forename: N
authors.initials: N
authors.lastname: Powers
authors.forename: Jan H
authors.initials: JH
authors.lastname: Jensen
mesh_terms: D001224:Aspartic Acid / Q000737:chemistry; D018360:Crystallography, X-Ray; D030562:Databases, Protein; D018698:Glutamic Acid / Q000737:chemistry; D006863:Hydrogen-Ion Concentration; D019906:Nuclear Magnetic Resonance, Biomolecular / Q000379:methods*; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry*; D012984:Software
chemical_list: D011506:Proteins; D001224:Aspartic Acid; D018698:Glutamic Acid