a peptide filtering relation quantifies mhc class i peptide optimization肽筛选关系量化我肽mhc类优化.pdfVIP

A Peptide Filtering Relation Quantifies MHC Class I Peptide Optimization 1. 1. 2¤ 3,4 5 Neil Dalchau *, Andrew Phillips , Leonard D. Goldstein , Mark Howarth , Luca Cardelli , Stephen Emmott1, Tim Elliott3,6, Joern M. Werner6,7 1 Biological Computation Group, Microsoft Research, Cambridge, United Kingdom, 2 Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Centre for Mathematical Sciences, Cambridge, United Kingdom, 3 Faculty of Medicine, University of Southampton, Southampton, United Kingdom, 4 Department of Biochemistry, Oxford University, Oxford, United Kingdom, 5 Programming Principles and Tools Group, Microsoft Research, Cambridge, United Kingdom, 6 Institute for Life Sciences, University of Southampton, Southampton, United Kingdom, 7 School of Biological Sciences, Faculty of Natural Sciences and the Environment, University of Southampton, Southampton, United Kingdom Abstract Major Histocompatibility Complex (MHC) class I molecules enable cytotoxic T lymphocytes to destroy virus-infected or cancerous cells, thereby preventing disease progression. MHC class I molecules provide a snapshot of the contents of a cell by binding to protein fragments arising from intracellular protein turnover and presenting these fragments at the cell surface. Competing fragments (peptides) are selected for cell-surface presentation on the basis of their ability to form a stable complex with MHC class I, by a process known as peptide optimization. A better understanding of the optimization process is important for our understanding of immunodominance, the predominance of some T lymphocyte specificities over others, which can determine the efficacy of an i