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CRYSOL– a Program to Evaluate X-ray Solution Scattering of Biological Macromolecules from Atomic Coordinates
Abstract
A program for evaluating the solution scattering from macromolecules with known atomic structure is presented. The program uses multipole expansion for fast calculation of the spherically averaged scattering pattern and takes into account the hydration shell. Given the atomic coordinates (e.g. from the Brookhaven Protein Data Bank) it can either predict the solution scattering curve or fit the experimental scattering curve using only two free parameters, the average displaced solvent volume per atomic group and the contrast of the hydration layer. The program runs on IBM PCs and on the major UNIX platforms.
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Citations
Cited by
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Rosenberg, O. S., Deindl, S., Sung, R.-J., Nairn, A. C., & Kuriyan, J. (2005) · Cell · doi:10.1016/j.cell.2005.10.029 · Cited by 333
Kershaw, N. J., Murphy, J. M., Liau, N. P. D., Varghese, L. N., Laktyushin, A., Whitlock, E. L., Lucet, I. S., Nicola, N. A., & Babon, J. J. (2013) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2519 · Cited by 301
Metadata
- Authors
- Svergun, D., Barberato, C., & Koch, M. H. J.
- Venue
- Journal of Applied Crystallography
- Published
- 1995-12-01
- Volume
- 28
- Issue
- 6
- Pages
- 768-773
- ISSN
- 0021-8898 (ISSN-L)
- OpenAlex
- W2066088601
- Cited by
- 3,434
- References
- 0
- FWCI
- 4.96
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: CRYSOL– a Program to Evaluate X-ray Solution Scattering of Biological Macromolecules from Atomic Coordinates. https://app.cochat.ai/papers/10.1107/s0021889895007047
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- Svergun, D., Barberato, C., & Koch, M. H. J. (1995). CRYSOL– a Program to Evaluate X-ray Solution Scattering of Biological Macromolecules from Atomic Coordinates. Journal of Applied Crystallography. https://doi.org/10.1107/s0021889895007047
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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.