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Electrostatic pKa computations in proteins: Role of internal cavities
Proteins, structure, function, and bioinformatics, 2011-12, Vol.79 (12), p.3320-3332
Meyer, Tim
Kieseritzky, Gernot
Knapp, Ernst-Walter
2011
Volltextzugriff (PDF)
Details
Autor(en) / Beteiligte
Meyer, Tim
Kieseritzky, Gernot
Knapp, Ernst-Walter
Titel
Electrostatic pKa computations in proteins: Role of internal cavities
Ist Teil von
Proteins, structure, function, and bioinformatics, 2011-12, Vol.79 (12), p.3320-3332
Ort / Verlag
Hoboken: Wiley Subscription Services, Inc., A Wiley Company
Erscheinungsjahr
2011
Quelle
Wiley Online Library All Journals
Beschreibungen/Notizen
The solvent accessible surface area (SASA) algorithm is conventionally used to characterize protein surfaces in electrostatic energy computations of proteins. Unfortunately, it often fails to find narrow cavities inside a protein. As a consequence pKa computations based on this algorithm perform badly. In this study a new cavity‐algorithm is introduced, which solves this problem and provides improved pKa values. The procedure is applied to 20 pKa values of titratable groups introduced as point mutations in SNase variants, where crystal structures are available. The computations of these pKas are particular challenging, since they are placed in a rather hydrophobic environment. For nine mutants, where the titratable residue is in contact with a large cavity, the RMSD pK a between computed and measured pKa values is 2.04, which is a considerable improvement as compared to the original results obtained with Karlsberg+ (http://agknapp.chemie.fu‐berlin.de/karlsberg/) that yielded an RMSD pK a of 8.8. However, for 11 titratable residues the agreement with experiments remains poor (RMSD pK a = 6.01). Considering 15 pKas of SNase, which are in a more conventional less hydrophobic protein environment, the RMSD pK a is 2.1 using the SASA‐algorithm and 1.7 using the new cavity‐algorithm. The agreement is reasonable but less good than what one would expect from the general performance of Karlsberg+ indicating that SNase belongs to the more difficult proteins with respect to pKa computations. We discuss the possible reasons for the remaining discrepancies between computed and measured pKas. Proteins 2011; © 2011 Wiley‐Liss, Inc.
Sprache
Englisch
Identifikatoren
ISSN: 0887-3585
eISSN: 1097-0134
DOI: 10.1002/prot.23092
Titel-ID: cdi_proquest_miscellaneous_903661328
Format
–
Schlagworte
cavities
,
continuum electrostatics
,
crystal waters
,
Hydrogen-Ion Concentration
,
Hydrophobic and Hydrophilic Interactions
,
Micrococcal Nuclease - chemistry
,
Micrococcal Nuclease - genetics
,
Micrococcal Nuclease - pharmacology
,
Models, Chemical
,
Models, Molecular
,
Mutation
,
pKa
,
Protein Conformation
,
Protein Structure, Tertiary
,
Proteins - chemistry
,
Proteins - metabolism
,
Static Electricity
,
Statistics as Topic - methods
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