The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Assessing predictions of protein–protein interaction: The CAPRI experiment
Open accessAbstract
The Critical Assessment of PRedicted Interactions (CAPRI) experiment was designed in 2000 to test protein docking algorithms in blind predictions of the structure of protein–protein complexes. In four years, 17 complexes offered by crystallographers as targets prior to publication, have been subjected to structure prediction by docking their two components. Models of these complexes were submitted by predictor groups and assessed by comparing their geometry to the X‐ray structure and by evaluating the quality of the prediction of the regions of interaction and of the pair wise residue contacts. Prediction was successful on 12 of the 17 targets, most of the failures being due to large conformation changes that the algorithms could not cope with. Progress in the prediction quality observed in four years indicates that the experiment is a powerful incentive to develop new procedures that allow for flexibility during docking and incorporate nonstructural information. We therefore call upon structural biologists who study protein–protein complexes to provide targets for further rounds of CAPRI predictions.
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Cites
Principles of docking: An overview of search algorithms and a guide to scoring functions
Halperin, I., Ma, B., Wolfson, H., & Nussinov, R. (2002) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.10115 · Cited by 1,294
CAPRI: A Critical Assessment of PRedicted Interactions
Janin, J., Henrick, K., Moult, J., Eyck, L. T., Sternberg, M. J. E., Vajda, S., Vakser, I., & Wodak, S. J. (2003) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.10381 · Cited by 703
Self-citation
Cited by
The HADDOCK2.2 Web Server: User-Friendly Integrative Modeling of Biomolecular Complexes
van Zundert, G. C. P., Rodrigues, J. P. G. L. M., Trellet, M., Schmitz, C., Kastritis, P. L., Karaca, E., Melquiond, A. S. J., van Dijk, M., de Vries, S. J., & Bonvin, A. M. J. J. (2016) · Journal of Molecular Biology · doi:10.1016/j.jmb.2015.09.014 · Cited by 2,785
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
Computational prediction of protein–protein binding affinities
Siebenmorgen, T., & Zacharias, M. (2020) · WIREs Computational Molecular Science · doi:10.1002/wcms.1448 · Cited by 184
London, N., Raveh, B., Movshovitz‐Attias, D., & Schueler‐Furman, O. (2010) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.22785 · Cited by 164
Xiong, P., Zhang, C., Zheng, W., & Zhang, Y. (2017) · Journal of Molecular Biology · doi:10.1016/j.jmb.2016.11.022 · Cited by 140
“with low-resolution complex structure built by protein docking [5,23] and multi-chain threading approaches [6,24].”
Background
Metadata
- Authors
- Janin, J.
- Venue
- Protein Science
- Publisher
- Wiley
- Published
- 2005-02
- Volume
- 14
- Issue
- 2
- Pages
- 278-283
- ISSN
- 0961-8368 (ISSN-L)
- 1469-896X
- OpenAlex
- W1993951624
- Cited by
- 163
- References
- 2
- FWCI
- 5.07
- Type
- journal article
- Language
- en
- Open access
- bronze
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