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Prediction of protein crystallization outcome using a hybrid method.
Title | Prediction of protein crystallization outcome using a hybrid method. |
Publication Type | Journal Article |
Year of Publication | 2010 |
Authors | Zucker, FH, Stewart, C, Delarosa, J, Kim, J, Zhang, L, Xiao, L, Ross, J, Napuli, AJ, Mueller, N, Castaneda, LJ, Nakazawa Hewitt, SR, Arakaki, TL, Larson, ET, Subramanian, E, Verlinde, CLMJ, Fan, E, Buckner, FS, Van Voorhis, WC, Merritt, EA, Hol, WGJ |
Journal | J Struct Biol |
Volume | 171 |
Issue | 1 |
Pagination | 64-73 |
Date Published | 2010 Jul |
ISSN | 1095-8657 |
Keywords | Crystallization, Crystallography, X-Ray, Data Interpretation, Statistical, Models, Molecular, Proteins, Sequence Analysis, Protein |
Abstract | The great power of protein crystallography to reveal biological structure is often limited by the tremendous effort required to produce suitable crystals. A hybrid crystal growth predictive model is presented that combines both experimental and sequence-derived data from target proteins, including novel variables derived from physico-chemical characterization such as R(30), the ratio between a protein's DSF intensity at 30°C and at T(m). This hybrid model is shown to be more powerful than sequence-based prediction alone - and more likely to be useful for prioritizing and directing the efforts of structural genomics and individual structural biology laboratories. |
DOI | 10.1016/j.jsb.2010.03.016 |
Alternate Journal | J. Struct. Biol. |
PubMed ID | 20347992 |