Protein electrostatics and pK sub(a) blind predictions; contribution from empirical predictions of internal ionizable residues
In this study, we validate and probe the description of electrostatic interactions within proteins by predicting and comparing pK sub(a) values of ionizable groups in a series of mutated staphylococcal nuclease variants with experiments. This set of pK sub(a) values is found to be the most challengi...
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Veröffentlicht in: | Proteins, structure, function, and bioinformatics structure, function, and bioinformatics, 2011-12, Vol.79 (12), p.3333-3345 |
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description | In this study, we validate and probe the description of electrostatic interactions within proteins by predicting and comparing pK sub(a) values of ionizable groups in a series of mutated staphylococcal nuclease variants with experiments. This set of pK sub(a) values is found to be the most challenging pK sub(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 sub(a) predictions and to compare submissions made using different subsets of the pK sub(a) data more consistently. Proteins 2011; copyright 2011 Wiley-Liss, Inc. |
doi_str_mv | 10.1002/prot.23113 |
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This set of pK sub(a) values is found to be the most challenging pK sub(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 sub(a) predictions and to compare submissions made using different subsets of the pK sub(a) data more consistently. 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title | Protein electrostatics and pK sub(a) blind predictions; contribution from empirical predictions of internal ionizable residues |
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