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A peptide filtering relation quantifies MHC class I peptide optimization

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...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1371/journal.pcbi.1002144

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Institution:
Microsoft Research, Cambridge, UK
Department:
Biological Computation Group
Role:
Author
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Institution:
Microsoft Research, Cambridge, UK
Department:
Biological Computation Group
Role:
Author
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Institution:
University of Cambridge
Department:
Department of Applied Mathematics and Theoretical Physics,Centre for Mathematical Sciences
Role:
Author
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Institution:
University of Oxford
Department:
Department of Biochemistry
Role:
Author
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Institution:
Microsoft Research, Cambridge, UK
Department:
Programming Principles and Tools Group
Role:
Author
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Funding agency for:
Elliot, T
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Funding agency for:
Howarth, M
Grant:
G78/6999
Publisher:
Public Library of Science Publisher's website
Journal:
PLoS Computational Biology Journal website
Volume:
7
Issue:
10
Article number:
e1002144
Publication date:
2011-10-01
DOI:
EISSN:
1553-7358
ISSN:
1553-734X
Language:
English
Keywords:
Subjects:
UUID:
uuid:7135e063-496a-46c9-b7ac-3d99f0e52316
Local pid:
ora:5995
Deposit date:
2012-01-09

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