Please use this identifier to cite or link to this item:
https://doi.org/10.1007/s00251-006-0117-2
DC Field | Value | |
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dc.title | MHC-BPS: MHC-binder prediction server for identifying peptides of flexible lengths from sequence-derived physicochemical properties | |
dc.contributor.author | Cui, J. | |
dc.contributor.author | Han, L.Y. | |
dc.contributor.author | Lin, H.H. | |
dc.contributor.author | Tang, Z.Q. | |
dc.contributor.author | Jiang, L. | |
dc.contributor.author | Cao, Z.W. | |
dc.contributor.author | Chen, Y.Z. | |
dc.date.accessioned | 2014-10-29T01:55:40Z | |
dc.date.available | 2014-10-29T01:55:40Z | |
dc.date.issued | 2006-08 | |
dc.identifier.citation | Cui, J., Han, L.Y., Lin, H.H., Tang, Z.Q., Jiang, L., Cao, Z.W., Chen, Y.Z. (2006-08). MHC-BPS: MHC-binder prediction server for identifying peptides of flexible lengths from sequence-derived physicochemical properties. Immunogenetics 58 (8) : 607-613. ScholarBank@NUS Repository. https://doi.org/10.1007/s00251-006-0117-2 | |
dc.identifier.issn | 00937711 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/106143 | |
dc.description.abstract | Major histocompatibility complex (MHC)-binding peptides are essential for antigen recognition by T-cell receptors and are being explored for vaccine design. Computational methods have been developed for predicting MHC-binding peptides of fixed lengths, based on the training of relatively few non-binders. It is desirable to introduce methods applicable for peptides of flexible lengths and trained by using more diverse sets of non-binders. MHC-BPS is a web-based MHC-binder prediction server that uses support vector machines for predicting peptide binders of flexible lengths for 18 MHC class I and 12 class II alleles from sequence-derived physicochemical properties, which were trained by using 4,208-3,252 binders and 234,333-168,793 non-binders, and evaluated by an independent set of 545-476 binders and 110,564-84,430 non-binders. The binder prediction accuracies are 86-99% for 25 and 70-80% for five alleles, and the non-binder accuracies are 96-99% for 30 alleles. A screening of HIV-1 genome identifies 0.01-5% and 5-8% of the constituent peptides as binders for 24 and 6 alleles, respectively, including 75-100% of the known epitopes. This method correctly predicts 73.3% of the 15 newly published epitopes in the last 4 months of 2005. MHC-BPS is available at http://bidd.cz3.nus.edu.sg/mhc/. © Springer-Verlag 2006. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/s00251-006-0117-2 | |
dc.source | Scopus | |
dc.subject | Epitopes | |
dc.subject | MHC-binding peptide | |
dc.subject | SVM | |
dc.type | Article | |
dc.contributor.department | PHARMACY | |
dc.description.doi | 10.1007/s00251-006-0117-2 | |
dc.description.sourcetitle | Immunogenetics | |
dc.description.volume | 58 | |
dc.description.issue | 8 | |
dc.description.page | 607-613 | |
dc.description.coden | IMNGB | |
dc.identifier.isiut | 000239171700001 | |
Appears in Collections: | Staff Publications |
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