The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
ProPred1: prediction of promiscuous MHC Class-I binding sites
Open accessAbstract
Summary: ProPred1 is an on-line web tool for the prediction of peptide binding to MHC class-I alleles. This is a matrix-based method that allows the prediction of MHC binding sites in an antigenic sequence for 47 MHC class-I alleles. The server represents MHC binding regions within an antigenic sequence in user-friendly formats. These formats assist user in the identification of promiscuous MHC binders in an antigen sequence that can bind to large number of alleles. ProPred1 also allows the prediction of the standard proteasome and immunoproteasome cleavage sites in an antigenic sequence. This server allows identification of MHC binders, who have the cleavage site at the C terminus. The simultaneous prediction of MHC binders and proteasome cleavage sites in an antigenic sequence leads to the identification of potential T-cell epitopes. Availability: Server is available at http://www.imtech.res.in/raghava/propred1/. Mirror site of this server is available at http://bioinformatics.uams.edu/mirror/propred1/ Supplementary information: Matrices and document on server are available at http://www.imtech.res.in/raghava/propred1/page2.html Contact: raghava@imtech.res.in * To whom correspondence should be addressed at Bioinformatics Centre, Institute of Microbial Technology, Sector 39A, Chandigarh, India.
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SYFPEITHI: database for MHC ligands and peptide motifs
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DEGRADATION OF CELL PROTEINS AND THE GENERATION OF MHC CLASS I-PRESENTED PEPTIDES
Rock, K. L., & Goldberg, A. L. (1999) · Annual Review of Immunology · doi:10.1146/annurev.immunol.17.1.739 · Cited by 921
ProPred: prediction of HLA-DR binding sites
Singh, H., & Raghava, G. P. S. (2001) · Bioinformatics · doi:10.1093/bioinformatics/17.12.1236 · Cited by 841
Self-citationSturniolo, T., Bono, E., Ding, J., Raddrizzani, L., Tuereci, O., Sahin, U., Braxenthaler, M., Gallazzi, F., Protti, M. P., Sinigaglia, F., et al. (1999) · Nature Biotechnology · doi:10.1038/9858 · Cited by 743
Prominent role of secondary anchor residues in peptide binding to HLA-A2.1 molecules
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MHCBN: a comprehensive database of MHC binding and non-binding peptides
Bhasin, M., Singh, H., & Raghava, G. P. S. (2003) · Bioinformatics · doi:10.1093/bioinformatics/btg055 · Cited by 201
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Cited by
Prediction of continuous B‐cell epitopes in an antigen using recurrent neural network
Saha, S., & Raghava, G. P. S. (2006) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.21078 · Cited by 1,747
Self-citationBhattacharya, M., Sharma, A. R., Patra, P., Ghosh, P., Sharma, G., Patra, B. C., Lee, S., & Chakraborty, C. (2020) · Journal of Medical Virology · doi:10.1002/jmv.25736 · Cited by 389
Prediction of CTL epitopes using QM, SVM and ANN techniques
Bhasin, M., & Raghava, G. P. S. (2004) · Vaccine · doi:10.1016/j.vaccine.2004.02.005 · Cited by 384
Self-citationA Community Resource Benchmarking Predictions of Peptide Binding to MHC-I Molecules
Peters, B., Bui, H.-H., Frankild, S., Nielsen, M., Lundegaard, C., Kostem, E., Basch, D., Lamberth, K., Harndahl, M., Fleri, W., et al. (2006) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0020065 · Cited by 288
Amyloid-β immunisation for Alzheimer's disease
Wisniewski, T., & Konietzko, U. (2008) · The Lancet Neurology · doi:10.1016/s1474-4422(08)70170-4 · Cited by 155
Metadata
- Authors
- Singh, H., & Raghava, G. P. S.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2003-05-22
- Volume
- 19
- Issue
- 8
- Pages
- 1009-1014
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2132609988
- Cited by
- 441
- References
- 14
- FWCI
- 3.11
- Type
- journal article
- Language
- en
- Open access
- bronze
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