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ProPred: prediction of HLA-DR binding sites
Open accessAbstract
Summary: ProPred is a graphical web tool for predicting MHC class II binding regions in antigenic protein sequences. The server implement matrix based prediction algorithm, employing amino-acid/position coefficient table deduced from literature. The predicted binders can be visualized either as peaks in graphical interface or as colored residues in HTML interface. This server might be a useful tool in locating the promiscuous binding regions that can bind to several HLA-DR alleles. Availability: The server is available at http://www.imtech.res.in/raghava/propred/ Contact: raghava@imtech.res.in Supplementary information: http://www.imtech.res.in/raghava/propred/page3.html * To whom correspondence should be addressed.
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Cited by
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Dhanda, S. K., Vir, P., & Raghava, G. P. (2013) · Biology Direct · doi:10.1186/1745-6150-8-30 · Cited by 837
Self-citationMachine learning for functional protein design
Notin, P., Rollins, N., Gal, Y., Sander, C., & Marks, D. (2024) · Nature Biotechnology · doi:10.1038/s41587-024-02127-0 · Cited by 270
Xu, Y., Su, G.-H., Ma, D., Xiao, Y., Shao, Z.-M., & Jiang, Y.-Z. (2021) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-021-00729-7 · Cited by 163
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
Kazi, A., Chuah, C., Majeed, A. B. A., Leow, C. H., Lim, B. H., & Leow, C. Y. (2018) · Pathogens and Global Health · doi:10.1080/20477724.2018.1446773 · Cited by 122
Metadata
- Authors
- Singh, H., & Raghava, G. P. S.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2001-12-01
- Volume
- 17
- Issue
- 12
- Pages
- 1236-1237
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2142636897
- Cited by
- 841
- References
- 0
- FWCI
- 3.26
- Type
- journal article
- Language
- en
- Open access
- bronze
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