The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Sub-angstrom accuracy in protein loop reconstruction by robotics-inspired conformational sampling
Open accessAbstract
Sub-angstrom accuracy in protein loop reconstruction by robotics-inspired conformational sampling
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Citations
Cites
Progress in Modeling of Protein Structures and Interactions.
Schueler-Furman, O., Wang, C., Bradley, P., Misura, K., & Baker, D. (2005) · Science · doi:10.1126/science.1112160 · Cited by 294
Cited by
Comparative Protein Structure Modeling Using MODELLER
Webb, B., & Sali, A. (2016) · Current Protocols in Bioinformatics · doi:10.1002/cpbi.3 · Cited by 4,316
Leaver-Fay (2011) · doi:10.1016/b978-0-12-381270-4.00019-6 · Cited by 1,904
The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design
Alford, R. F., Leaver-Fay, A., Jeliazkov, J. R., O’Meara, M. J., DiMaio, F. P., Park, H., Shapovalov, M. V., Renfrew, P. D., Mulligan, V. K., Kappel, K., et al. (2017) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.7b00125 · Cited by 1,532
Self-citationMacromolecular modeling and design in Rosetta: recent methods and frameworks
Leman, J. K., Weitzner, B. D., Lewis, S. M., Adolf-Bryfogle, J., Alam, N., Alford, R. F., Aprahamian, M., Baker, D., Barlow, K. A., Barth, P., et al. (2020) · Nature Methods · doi:10.1038/s41592-020-0848-2 · Cited by 888
Self-citationPyRosetta: a script-based interface for implementing molecular modeling algorithms using Rosetta
Chaudhury, S., Lyskov, S., & Gray, J. J. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq007 · Cited by 816
Metadata
- Authors
- Mandell, D. J., Coutsias, E. A., & Kortemme, T.
- Venue
- Nature Methods
- Published
- 2009-08
- Volume
- 6
- Issue
- 8
- Pages
- 551-552
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W2007804411
- Cited by
- 457
- References
- 1
- FWCI
- 9.12
- Type
- journal article
- Language
- en
- Open access
- green
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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.