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Predicting protein crystallization from a dilute solution property
Abstract
A dilute solution parameter obtained from static light-scattering measurements is proposed as a predictor for protein crystallization experiments. The osmotic second virial coefficients, B(22), have been measured for a variety of proteins in solvents that are known to promote crystallization and the values for B(22) were found to lie within a fairly narrow range which we refer to as a crystallization slot. Solution conditions which were known not to favor crystallization of the proteins resulted in B(22) values well outside the crystallization slot.
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Cites
Dynamic Light Scattering: Applications of Photon Correlation Spectroscopy
(1985) · Springer eBooks · doi:10.1007/978-1-4613-2389-1 · Cited by 4,856
Preparation and analysis of protein crystals
McPherson, A. (1982) · Andalas University Repository (Andalas University) · Cited by 965
Cited by
Liquid-Liquid Phase Separation in Biology
Hyman, A. A., Weber, C. A., & Jülicher, F. (2014) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-100913-013325 · Cited by 3,155
Chi, E. Y., Krishnan, S., Randolph, T. W., & Carpenter, J. F. (2003) · Pharmaceutical Research · doi:10.1023/a:1025771421906 · Cited by 1,379
COLLINS, K. (2004) · Methods · doi:10.1016/j.ymeth.2004.03.021 · Cited by 1,091
Refolding of proteins from inclusion bodies: rational design and recipes
Basu, A., Li, X., & Leong, S. S. J. (2011) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-011-3513-y · Cited by 79
Metadata
- Authors
- George, A., & Wilson, W. W.
- Venue
- Acta Crystallographica Section D Biological Crystallography
- Published
- 1994-07-01
- Volume
- 50
- Issue
- 4
- Pages
- 361-365
- ISSN
- 0907-4449 (ISSN-L)
- OpenAlex
- W2106886604
- Cited by
- 608
- References
- 2
- FWCI
- 8.40
- Type
- journal article
- Language
- en
- Open access
- closed
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- George, A., & Wilson, W. W. (1994). Predicting protein crystallization from a dilute solution property. Acta Crystallographica Section D Biological Crystallography. https://doi.org/10.1107/s0907444994001216
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
