The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
DISULFIND: a disulfide bonding state and cysteine connectivity prediction server
Open accessAbstract
DISULFIND is a server for predicting the disulfide bonding state of cysteines and their disulfide connectivity starting from sequence alone. Optionally, disulfide connectivity can be predicted from sequence and a bonding state assignment given as input. The output is a simple visualization of the assigned bonding state (with confidence degrees) and the most likely connectivity patterns. The server is available at http://disulfind.dsi.unifi.it/.
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Cites
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SCRATCH: a protein structure and structural feature prediction server
Cheng, J., Randall, A. Z., Sweredoski, M. J., & Baldi, P. (2005) · Nucleic Acids Research · doi:10.1093/nar/gki396 · Cited by 1,044
Exploiting the past and the future in protein secondary structure prediction
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Self-citationLearning structured prediction models: a large margin approach
Taskar, B., Chatalbashev, V., Koller, D., & Guestrin, C. (2005) · Proceedings of the 22nd international conference on Machine learning - ICML '05 · doi:10.1145/1102351.1102464 · Cited by 444
DiANNA: a web server for disulfide connectivity prediction
Ferre, F., & Clote, P. (2005) · Nucleic Acids Research · doi:10.1093/nar/gki412 · Cited by 375
Rost, B. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkg508 · Cited by 247
Learning Probabilistic Models of Relational Structure
Getoor, L., Friedman, N., Koller, D., et al. (2001) · Cited by 215
Cheng, J. J., Saigo, H., & Baldi, P. (2005) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.20787 · Cited by 155
Role of evolutionary information in predicting the disulfide-bonding state of cysteine in proteins
Fariselli, P., Riccobelli, P., & Casadio, R. (1999) · Proteins Structure Function and Bioinformatics · doi:10.1002/(sici)1097-0134(19990815)36:3<340::aid-prot8>3.0.co;2-d · Cited by 144
Disulfide connectivity prediction using secondary structure information and diresidue frequencies
Ferrè, F., & Clote, P. (2005) · Computer applications in the biosciences · doi:10.1093/bioinformatics/bti328 · Cited by 109
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Deep learning methods in protein structure prediction
Torrisi, M., Pollastri, G., & Le, Q. (2020) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2019.12.011 · Cited by 284
Liu, Z., Zhang, Z., Faris, J. D., Oliver, R. P., Syme, R., McDonald, M. C., McDonald, B. A., Solomon, P. S., Lu, S., Shelver, W. L., et al. (2012) · PLoS Pathogens · doi:10.1371/journal.ppat.1002467 · Cited by 269
McCaffrey, G., Seelbach, M. J., Staatz, W. D., Nametz, N., Quigley, C., Campos, C. R., Brooks, T. A., & Davis, T. P. (2008) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2008.05582.x · Cited by 71
Broadening the Spectrum of Ehlers Danlos Syndrome in Patients With Congenital Adrenal Hyperplasia
Morissette, R., Chen, W., Perritt, A. F., Dreiling, J. L., Arai, A. E., Sachdev, V., Hannoush, H., Mallappa, A., Xu, Z., McDonnell, N. B., et al. (2015) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2015-2232 · Cited by 68
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Bartolacci, C., Andreani, C., Curcio, C., Occhipinti, S., Massaccesi, L., Giovarelli, M., Galeazzi, R., Iezzi, M., Tilio, M., Gambini, V., et al. (2018) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-18-0179 · Cited by 37
Metadata
- Authors
- Ceroni, A., Passerini, A., Vullo, A., & Frasconi, P.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2006-07-01
- Volume
- 34
- Issue
- Web Server
- Pages
- W177-W181
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2159128192
- Cited by
- 332
- References
- 14
- FWCI
- 4.54
- Type
- journal article
- Language
- en
- Open access
- gold
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- Ceroni, A., Passerini, A., Vullo, A., & Frasconi, P. (2006). DISULFIND: a disulfide bonding state and cysteine connectivity prediction server. Nucleic Acids Research. https://doi.org/10.1093/nar/gkl266
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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