The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Prediction of Protein Binding Regions in Disordered Proteins
Open accessAbstract
Many disordered proteins function via binding to a structured partner and undergo a disorder-to-order transition. The coupled folding and binding can confer several functional advantages such as the precise control of binding specificity without increased affinity. Additionally, the inherent flexibility allows the binding site to adopt various conformations and to bind to multiple partners. These features explain the prevalence of such binding elements in signaling and regulatory processes. In this work, we report ANCHOR, a method for the prediction of disordered binding regions. ANCHOR relies on the pairwise energy estimation approach that is the basis of IUPred, a previous general disorder prediction method. In order to predict disordered binding regions, we seek to identify segments that are in disordered regions, cannot form enough favorable intrachain interactions to fold on their own, and are likely to gain stabilizing energy by interacting with a globular protein partner. The performance of ANCHOR was found to be largely independent from the amino acid composition and adopted secondary structure. Longer binding sites generally were predicted to be segmented, in agreement with available experimentally characterized examples. Scanning several hundred proteomes showed that the occurrence of disordered binding sites increased with the complexity of the organisms even compared to disordered regions in general. Furthermore, the length distribution of binding sites was different from disordered protein regions in general and was dominated by shorter segments. These results underline the importance of disordered proteins and protein segments in establishing new binding regions. Due to their specific biophysical properties, disordered binding sites generally carry a robust sequence signal, and this signal is efficiently captured by our method. Through its generality, ANCHOR opens new ways to study the essential functional sites of disordered proteins.
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Cites
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Cited by
A Highly Conserved Program of Neuronal Microexons Is Misregulated in Autistic Brains
Irimia, M., Weatheritt, R. J., Ellis, J. D., Parikshak, N. N., Gonatopoulos-Pournatzis, T., Babor, M., Quesnel-Vallières, M., Tapial, J., Raj, B., O’Hanlon, D., et al. (2014) · Cell · doi:10.1016/j.cell.2014.11.035 · Cited by 693
“(G) Percent of residues overlapping binding motifs predicted by ANCHOR.”
BackgroundD2P2: database of disordered protein predictions
Oates, M. E., Romero, P., Ishida, T., Ghalwash, M., Mizianty, M. J., Xue, B., Dosztányi, Z., Uversky, V. N., Obradovic, Z., Kurgan, L., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1226 · Cited by 705
Self-citationAlphaFold and Implications for Intrinsically Disordered Proteins
Ruff, K. M., & Pappu, R. V. (2021) · Journal of Molecular Biology · doi:10.1016/j.jmb.2021.167208 · Cited by 635
Family-wide characterization of the DENN domain Rab GDP-GTP exchange factors
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Pathological Unfoldomics of Uncontrolled Chaos: Intrinsically Disordered Proteins and Human Diseases
Uversky, V. N., Davé, V., Iakoucheva, L. M., Malaney, P., Metallo, S. J., Pathak, R. R., & Joerger, A. C. (2014) · Chemical Reviews · doi:10.1021/cr400713r · Cited by 288
Metadata
- Authors
- Mészáros, B., Simon, I., & Dosztányi, Z.
- Venue
- PLoS Computational Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2009-05-01
- Volume
- 5
- Issue
- 5
- Pages
- e1000376
- ISSN
- 1553-734X (ISSN-L)
- 1553-7358
- OpenAlex
- W2120744225
- Cited by
- 627
- References
- 11
- FWCI
- 9.48
- Type
- journal article
- Language
- en
- Open access
- gold
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