Crystallization has proven to be the most significant bottleneck to high-throughput protein structure determination using diffraction methods. We have used the large-scale, systematically generated experimental results of the Northeast Structural Genomics Consortium to characterize the biophysical properties that control protein crystallization. Datamining of crystallization results combined with explicit folding studies lead to the conclusion that crystallization propensity is controlled primarily by the prevalence of well-ordered surface epitopes capable of mediating interprotein interactions and is not strongly influenced by overall thermodynamic stability. These analyses identify specific sequence features correlating with crystallization propensity that can be used to estimate the crystallization probability of a given construct. Analyses of entire predicted proteomes demonstrate substantial differences in the bulk amino acid sequence properties of human versus eubacterial proteins that reflect likely differences in their biophysical properties including crystallization propensity. Finally, our thermodynamic measurements enable critical evaluation of previous claims regarding correlations between protein stability and bulk sequence properties, which generally are not supported by our dataset. NIH Public Access Author ManuscriptNat Biotechnol. Author manuscript; available in PMC 2010 January 1. Published in final edited form as:Nat Biotechnol. 2009 January ; 27(1): 51-57. doi:10.1038/nbt.1514. NIH-PA Author ManuscriptNIH-PA Author Manuscript NIH-PA Author ManuscriptThe ability to determine the atomic structures of macromolecules represents a great achievement in molecular biology because of the unparalleled value of this information in understanding the fundamental chemistry of life [1][2][3][4][5] . While nuclear magnetic resonance represents an invaluable source of structural information, especially for small proteins, most macromolecular structures are determined using x-ray crystallography. Capitalizing on the recent proliferation of genomic sequence data, "structural genomics" consortia have been organized worldwide to develop methods and infrastructure for high-throughput protein structure determination. These groups have contributed to improvements in expression and structure determination methods 6 , and the four largest U.S. consortia accounted for 45% of all novel structures deposited in the Protein Data Bank (PDB) in 2007 7 . While these efforts contribute to the impressive progress of the structural biology community in characterizing the full repertoire of protein structures, the rate of growth in sequence information nonetheless far out-paces that of structural information. Given the ongoing acceleration of whole-genome sequencing, the gap between the two will continue to expand without a breakthrough in macromolecular structure determination methods.The systematic efforts of structural genomics projects show that crystallization is the major bottleneck to protein structure determinati...

phosphate and three nearly equally charged oxygens (0-11, 0-12, 0-21) which could partake in ionic binding or hydrogen bonding, or perhaps as general acid-base agents for the ylide protonation deprotonation step.The pyrophosphate charge may also be used in maintaining the Mg(II) metal in its required position.Further theoretical work on the mechanism of binding as well as a conformational analysis of the dimethylene pyrophosphate side chain will be reported later. The need for further experimental work on the definition of the solution conformation of the coenzyme as well as on the details of the enzyme-coenzyme-substrate interactions is obvious.Acknowledgment. Computer time was generously provided by the Rutgers University Center for Computer and Information Services. The experimental work, on which preliminary results were discussed, was

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X-ray crystallography and NMR spectroscopy provide the only sources of experimental data from which protein structures can be analyzed at high or even atomic resolution. The degree to which these methods complement each other as sources of structural knowledge is a matter of debate; it is often proposed that small proteins yielding high quality, readily analyzed NMR spectra are a subset of those that readily yield strongly diffracting crystals. We have examined the correlation between NMR spectral quality and success in structure determination by X-ray crystallography for 159 prokaryotic and eukaryotic proteins, prescreened to avoid proteins providing polydisperse and/or aggregated samples. This study demonstrates that, across this protein sample set, the quality of a protein's [15N-1H]-heteronuclear correlation (HSQC) spectrum recorded under conditions generally suitable for 3D structure determination by NMR, a key predictor of the ability to determine a structure by NMR, is not correlated with successful crystallization and structure determination by X-ray crystallography. These results, together with similar results of an independent study presented in the accompanying paper (Yee, et al., J. Am. Chem. Soc., accompanying paper), demonstrate that X-ray crystallography and NMR often provide complementary sources of structural data and that both methods are required in order to optimize success for as many targets as possible in large-scale structural proteomics efforts.