The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Network‐based prediction of protein function
Open accessAbstract
Functional annotation of proteins is a fundamental problem in the post-genomic era. The recent availability of protein interaction networks for many model species has spurred on the development of computational methods for interpreting such data in order to elucidate protein function. In this review, we describe the current computational approaches for the task, including direct methods, which propagate functional information through the network, and module-assisted methods, which infer functional modules within the network and use those for the annotation task. Although a broad variety of interesting approaches has been developed, further progress in the field will depend on systematic evaluation of the methods and their dissemination in the biological community.
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Cites
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Opportunities and obstacles for deep learning in biology and medicine
Ching, T., Himmelstein, D. S., Beaulieu-Jones, B. K., Kalinin, A. A., Do, B. T., Way, G. P., Ferrero, E., Agapow, P.-M., Zietz, M., Hoffman, M. M., et al. (2018) · Journal of The Royal Society Interface · doi:10.1098/rsif.2017.0387 · Cited by 2,310
A large-scale evaluation of computational protein function prediction
Radivojac, P., Clark, W. T., Oron, T. R., Schnoes, A. M., Wittkop, T., Sokolov, A., Graim, K., Funk, C., Verspoor, K., Ben-Hur, A., et al. (2013) · Nature Methods · doi:10.1038/nmeth.2340 · Cited by 1,028
Wang, D., Wang, J., Lu, M., Song, F., & Cui, Q. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq241 · Cited by 913
Principles of Protein−Protein Interactions: What are the Preferred Ways For Proteins To Interact?
Keskin, O., Gursoy, A., Ma, B., & Nussinov, R. (2008) · Chemical Reviews · doi:10.1021/cr040409x · Cited by 697
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Metadata
- Authors
- Sharan, R., Ulitsky, I., & Shamir, R.
- Venue
- Molecular Systems Biology
- Published
- 2007-01
- Volume
- 3
- Issue
- 1
- Pages
- 88-88
- ISSN
- 1744-4292 (ISSN-L)
- OpenAlex
- W2166468869
- Cited by
- 1,074
- References
- 9
- FWCI
- 24.66
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
