Protein Science Attend a BioResearch Product Faire
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Nielsen, J. E.
Right arrow Articles by McCammon, J. A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Nielsen, J. E.
Right arrow Articles by McCammon, J. A.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?
Protein Science (2003), 12:313-326.
Copyright © 2003 The Protein Society

On the evaluation and optimization of protein X-ray structures for pKa calculations

Jens Erik Nielsen and J. Andrew McCammon

Howard Hughes Medical Institute and Department of Chemistry and Biochemistry, Department of Pharmacology, University of California, San Diego, La Jolla, California 92093, USA

Reprint requests to: Jens Erik Nielsen, Department of Chemistry and Biochemistry M/C 0365, UCSD, La Jolla, CA 92093, USA; e-mail: jnielsen{at}mccammon.ucsd.edu; fax: (858) 534-7042.

The calculation of the physical properties of a protein from its X-ray structure is of importance in virtually every aspect of modern biology. Although computational algorithms have been developed for calculating everything from the dynamics of a protein to its binding specificity, only limited information is available on the ability of these methods to give accurate results when used with a particular X-ray structure. We examine the ability of a pKa calculation algorithm to predict the proton-donating residue in the catalytic mechanism of hen egg white lysozyme. We examine the correlation between the ability of the pKa calculation method to obtain the correct result and the overall characteristics of 41 X-ray structures such as crystallization conditions, resolution, and the output of structure validation software. We furthermore examine the ability of energy minimizations (EM), molecular dynamics (MD) simulations, and structure-perturbation methods to optimize the X-ray structures such that these give correct results with the pKa calculation algorithm. We propose a set of criteria for identifying the proton donor in a catalytic mechanism, and demonstrate that the application of these criteria give highly accurate prediction results when using unmodified X-ray structures. More specifically, we are able to successfully identify the proton donor in 85% of the X-ray structures when excluding structures with crystal contacts near the active site. Neither the use of the overall characteristics of the X-ray structures nor the optimization of the structure by EM, MD, or other methods improves the results of the pKa calculation algorithm. We discuss these results and their implications for the design of structure-based energy calculation algorithms in general.

Keywords: pKa calculations; crystal contacts; structural genomics; molecular dynamics; electrostatics; enzymes

Abbreviations: HEWL, hen egg white lysozyme • RMSD, root mean square difference • PDB, Protein Data Bank


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?


This article has been cited by other articles:


Home page
J. Biol. Chem.Home page
D. Narzi, K. Winkler, J. Saidowsky, R. Misselwitz, A. Ziegler, R. A. Bockmann, and U. Alexiev
Molecular Determinants of Major Histocompatibility Complex Class I Complex Stability: SHAPING ANTIGENIC FEATURES THROUGH SHORT AND LONG RANGE ELECTROSTATIC INTERACTIONS
J. Biol. Chem., August 22, 2008; 283(34): 23093 - 23103.
[Abstract] [Full Text] [PDF]


Home page
Protein Sci.Home page
B. M. Tynan-Connolly and J. E. Nielsen
Redesigning protein pKa values
Protein Sci., February 1, 2007; 16(2): 239 - 249.
[Abstract] [Full Text] [PDF]


Home page
Biophys. JHome page
P. J. Kundrotas and E. Alexov
Electrostatic Properties of Protein-Protein Complexes
Biophys. J., September 1, 2006; 91(5): 1724 - 1736.
[Abstract] [Full Text] [PDF]


Home page
J. Biol. Chem.Home page
N. Ishiyama, C. Creuzenet, W. L. Miller, M. Demendi, E. M. Anderson, G. Harauz, J. S. Lam, and A. M. Berghuis
Structural Studies of FlaA1 from Helicobacter pylori Reveal the Mechanism for Inverting 4,6-Dehydratase Activity
J. Biol. Chem., August 25, 2006; 281(34): 24489 - 24495.
[Abstract] [Full Text] [PDF]


Home page
Nucleic Acids ResHome page
C. P. Toseland, H. McSparron, M. N. Davies, and D. R. Flower
PPD v1.0--an integrated, web-accessible database of experimentally determined protein pKa values
Nucleic Acids Res., January 1, 2006; 34(suppl_1): D199 - D203.
[Abstract] [Full Text] [PDF]


Home page
Protein Sci.Home page
J. E. Nielsen and J. A. McCammon
Calculating pKa values in enzyme active sites
Protein Sci., September 1, 2003; 12(9): 1894 - 1901.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2003 by The Protein Society.