The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Controllability in protein interaction networks
Open accessAbstract
Significance: In human and yeast protein interaction datasets we determined minimum dominating sets (MDSets), proteins that play a role in the control of the underlying interaction webs. Such proteins are defined as optimized subsets from where each remaining protein can be immediately reached. Notably, MDSet proteins were enriched with cancer-related and virus-targeted genes. Furthermore, MDSet proteins have a higher impact on network resilience than hub proteins. Indicating their relevance for the controllability of biological networks, we also found a strong involvement in bottleneck interactions, regulatory and phosphorylation events as well as genetic interactions.
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Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
BioGRID: a general repository for interaction datasets
Stark, C. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkj109 · Cited by 3,960
The Genetic Landscape of a Cell
Costanzo, M., Baryshnikova, A., Bellay, J., Kim, Y., Spear, E. D., Sevier, C. S., Ding, H., Koh, J. L. Y., Toufighi, K., Mostafavi, S., et al. (2010) · Science · doi:10.1126/science.1180823 · Cited by 2,162
High-Quality Binary Protein Interaction Map of the Yeast Interactome Network
Yu, H., Braun, P., Yıldırım, M. A., Lemmens, I., Venkatesan, K., Sahalie, J., Hirozane-Kishikawa, T., Gebreab, F., Li, N., Simonis, N., et al. (2008) · Science · doi:10.1126/science.1158684 · Cited by 1,392
Evolutionary Rate in the Protein Interaction Network
Fraser, H. B., Hirsh, A. E., Steinmetz, L. M., Scharfe, C., & Feldman, M. W. (2002) · Science · doi:10.1126/science.1068696 · Cited by 869
Human Cancer Protein-Protein Interaction Network: A Structural Perspective
Kar, G., Gursoy, A., & Keskin, O. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000601 · Cited by 235
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Wang, W.-X., Lai, Y.-C., & Grebogi, C. (2016) · Physics Reports · doi:10.1016/j.physrep.2016.06.004 · Cited by 299
Vinayagam, A., Gibson, T. E., Lee, H.-J., Yilmazel, B., Roesel, C., Hu, Y., Kwon, Y., Sharma, A., Liu, Y.-Y., Perrimon, N., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1603992113 · Cited by 257
Network control principles for identifying personalized driver genes in cancer
Guo, W.-F., Zhang, S.-W., Zeng, T., Akutsu, T., & Chen, L. (2020) · Briefings in Bioinformatics · doi:10.1093/bib/bbz089 · Cited by 44
Metadata
- Authors
- Wuchty, S.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2014-04-28
- Volume
- 111
- Issue
- 19
- Pages
- 7156-7160
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2105813236
- Cited by
- 210
- References
- 6
- FWCI
- 10.10
- Type
- journal article
- Language
- en
- Open access
- bronze
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