title: Protein electrostatics and pKa blind predictions; contribution from empirical predictions of internal ionizable residues.
abstract: In this study, we validate and probe the description of electrostatic interactions within proteins by predicting and comparing pK(a) values of ionizable groups in a series of mutated staphylococcal nuclease variants with experiments. This set of pK(a) values is found to be the most challenging pK(a) data to date, because ionizable residues have been introduced in hydrophobic patches in the protein interior and are therefore significantly shifted from their reference solvated values. We find that using PROPKA2 (Li et al., Proteins 2005;61:704-721) results in an rmsd value close to 2 for true blind predictions (1.6 if we reassign the tightly coupled Asp19/21 pair) and close to 1 for postpredictions with the newly developed PROPKA3 (Olsson et al., J. Chem. Theor. Comp. 2011;7:525-537). We also use the performance of the Null-model, predictions made with the reference value only, to provide a better description of the expected errors in pK(a) predictions and to compare submissions made using different subsets of the pK(a) data more consistently.
authors.affiliation: Department of Chemistry, University of Copenhagen, Copenhagen, Denmark. mats.olsson@hotmail.com
authors.forename: Mats H M
authors.initials: MH
authors.lastname: Olsson
mesh_terms: D006863:Hydrogen-Ion Concentration; D057927:Hydrophobic and Hydrophilic Interactions; D008836:Micrococcal Nuclease / Q000737:chemistry / Q000235:genetics / Q000378:metabolism; D008956:Models, Chemical; D008958:Models, Molecular; D009154:Mutation; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry* / Q000378:metabolism*; D055672:Static Electricity; D013223:Statistics as Topic / Q000379:methods; D013816:Thermodynamics
chemical_list: D011506:Proteins; D008836:Micrococcal Nuclease