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MOLSCRIPT: a program to produce both detailed and schematic plots of protein structures
Open accessAbstract
The MOLSCRIPT program produces plots of protein structures using several different kinds of representations. Schematic drawings, simple wire models, ball-and-stick models, CPK models and text labels can be mixed freely. The schematic drawings are shaded to improve the illusion of three dimensionality. A number of parameters affecting various aspects of the objects drawn can be changed by the user. The output from the program is in PostScript format.
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Citations
Cited by
Berman, H. M. (2000) · Nucleic Acids Research · doi:10.1093/nar/28.1.235 · Cited by 40,196
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Brogden, K. A. (2005) · Nature Reviews Microbiology · doi:10.1038/nrmicro1098 · Cited by 5,829
The Pfam protein families database
Bateman, A. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh121 · Cited by 3,127
HADDOCK: A Protein−Protein Docking Approach Based on Biochemical or Biophysical Information
Dominguez, C., Boelens, R., & Bonvin, A. M. J. J. (2003) · Journal of the American Chemical Society · doi:10.1021/ja026939x · Cited by 3,187
Structure of the MDM2 Oncoprotein Bound to the p53 Tumor Suppressor Transactivation Domain
Kussie, P. H., Gorina, S., Marechal, V., Elenbaas, B., Moreau, J., Levine, A. J., & Pavletich, N. P. (1996) · Science · doi:10.1126/science.274.5289.948 · Cited by 2,206
Metadata
- Authors
- Kraulis, P. J.
- Venue
- Journal of Applied Crystallography
- Published
- 1991-10-01
- Volume
- 24
- Issue
- 5
- Pages
- 946-950
- ISSN
- 0021-8898 (ISSN-L)
- OpenAlex
- W2028231353
- Cited by
- 14,085
- References
- 0
- FWCI
- 248.37
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Kraulis, P. J. (1991). MOLSCRIPT: a program to produce both detailed and schematic plots of protein structures. Journal of Applied Crystallography. https://doi.org/10.1107/s0021889891004399
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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.
