Applying generalized hydrophobicity scale of amino acids to quantitative prediction of human leukocyte antigen-A*0201-restricted cytotoxic T lymphocyte epitope
Authors:
- 15 June 2006
- journal article
- Published by Elsevier in Science Bulletin
- Vol. 51 (12) , 1439-1443
Abstract
No abstract availableKeywords
This publication has 10 references indexed in Scilit:
- The Importance of Being Earnest: Validation is the Absolute Essential for Successful Application and Interpretation of QSPR ModelsQSAR & Combinatorial Science, 2003
- Toward the Quantitative Prediction of T-Cell Epitopes: CoMFA and CoMSIA Studies of Peptides with Affinity for the Class I MHC Molecule HLA-A*0201Journal of Medicinal Chemistry, 2001
- Neural network-based prediction of candidate T-cell epitopesNature Biotechnology, 1998
- Prediction of MHC class II-binding peptides using an evolutionary algorithm and artificial neural network.Bioinformatics, 1998
- How protein chemists learned about the hydrophobic factorProtein Science, 1997
- Structure of the complex between human T-cell receptor, viral peptide and HLA-A2Nature, 1996
- Tumor-specific lysis of human renal cell carcinomas by tumor-infiltrating lymphocytes. I. HLA-A2-restricted recognition of autologous and allogeneic tumor lines.The Journal of Immunology, 1993
- Prominent role of secondary anchor residues in peptide binding to HLA-A2.1 moleculesCell, 1993
- Allele-specific motifs revealed by sequencing of self-peptides eluted from MHC moleculesNature, 1991
- The Hydrophobic Effect and the Organization of Living MatterScience, 1978