| Literature DB >> 19079241 |
W Nicholson Price1, Yang Chen, Samuel K Handelman, Helen Neely, Philip Manor, Richard Karlin, Rajesh Nair, Jinfeng Liu, Michael Baran, John Everett, Saichiu N Tong, Farhad Forouhar, Swarup S Swaminathan, Thomas Acton, Rong Xiao, Joseph R Luft, Angela Lauricella, George T DeTitta, Burkhard Rost, Gaetano T Montelione, John F Hunt.
Abstract
Crystallization is the most serious bottleneck in high-throughput protein-structure determination by diffraction methods. We have used data mining of the large-scale experimental results of the Northeast Structural Genomics Consortium and experimental folding studies to characterize the biophysical properties that control protein crystallization. This analysis leads to the conclusion that crystallization propensity depends primarily on the prevalence of well-ordered surface epitopes capable of mediating interprotein interactions and is not strongly influenced by overall thermodynamic stability. We identify specific sequence features that correlate with crystallization propensity and that can be used to estimate the crystallization probability of a given construct. Analyses of entire predicted proteomes demonstrate substantial differences in the amino acid-sequence properties of human versus eubacterial proteins, which likely reflect differences in biophysical properties, including crystallization propensity. Our thermodynamic measurements do not generally support previous claims regarding correlations between sequence properties and protein stability.Entities:
Mesh:
Substances:
Year: 2009 PMID: 19079241 PMCID: PMC2746436 DOI: 10.1038/nbt.1514
Source DB: PubMed Journal: Nat Biotechnol ISSN: 1087-0156 Impact factor: 54.908