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Zhang GL, Petrovsky N, Kwoh CK, et al. PRED(TAP): a system for prediction of peptide binding to the human transporter associated with antigen processing. Immunome Res. 2006;2:3doi: 10.1186/1745-7580-2-3.
Zhang, G. L., Petrovsky, N., Kwoh, C. K., August, J. T., & Brusic, V. (2006). PRED(TAP): a system for prediction of peptide binding to the human transporter associated with antigen processing. Immunome research, 23. https://doi.org/10.1186/1745-7580-2-3
Zhang, Guang Lan, et al. "PRED(TAP): a system for prediction of peptide binding to the human transporter associated with antigen processing." Immunome research vol. 2 (2006): 3. doi: https://doi.org/10.1186/1745-7580-2-3
Zhang GL, Petrovsky N, Kwoh CK, August JT, Brusic V. PRED(TAP): a system for prediction of peptide binding to the human transporter associated with antigen processing. Immunome Res. 2006 May 23;2:3. doi: 10.1186/1745-7580-2-3. PMID: 16719926; PMCID: PMC1524936.
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Immunome Res. 2006 May 23;2:3. doi: 10.1186/1745-7580-2-3.

PRED(TAP): a system for prediction of peptide binding to the human transporter associated with antigen processing.

Immunome research

Guang Lan Zhang, Nikolai Petrovsky, Chee Keong Kwoh, J Thomas August, Vladimir Brusic

Affiliations

  1. Institute for Infocomm Research, 21 Heng Mui Keng Terrace, 119613, Singapore. [email protected]

PMID: 16719926 PMCID: PMC1524936 DOI: 10.1186/1745-7580-2-3

Abstract

BACKGROUND: The transporter associated with antigen processing (TAP) is a critical component of the major histocompatibility complex (MHC) class I antigen processing and presentation pathway. TAP transports antigenic peptides into the endoplasmic reticulum where it loads them into the binding groove of MHC class I molecules. Because peptides must first be transported by TAP in order to be presented on MHC class I, TAP binding preferences should impact significantly on T-cell epitope selection.

DESCRIPTION: PRED(TAP) is a computational system that predicts peptide binding to human TAP. It uses artificial neural networks and hidden Markov models as predictive engines. Extensive testing was performed to valid the prediction models. The results showed that PRED(TAP) was both sensitive and specific and had good predictive ability (area under the receiver operating characteristic curve Aroc>0.85).

CONCLUSION: PRED(TAP) can be integrated with prediction systems for MHC class I binding peptides for improved performance of in silico prediction of T-cell epitopes. PRED(TAP) is available for public use at [1].

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