Name
Abstract | ||
|---|---|---|
The human immune system is a highly complex machinery tuned to recognize specific molecular patterns in order to distinguish self from non-self proteins. Specialized immune cells can recognize major histocompatibility (MHC) molecules with bound protein fragments (peptides) on the surface of other cells. If these peptides originate from virus or cancer proteins, the immune cells can induce controlled cell death. In silico vaccine design typically starts with the identification of peptides that might induce an immune response as a first step. This is typically done by searching for specific amino acid patterns obtained from peptides known to be recognized by the immune system. We propose a new method for deriving decision rules based on the physiochemical properties of such peptides. The rulesets generated give insights into the underlying mechanism of MHC-peptide interaction. Furthermore, we show that these rulesets can be used for high accuracy prediction of MHC binding peptides. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11551188_48 | ICAPR (1) |
Keywords | Field | DocType |
specific amino acid pattern,immune system,specific molecular pattern,amino acid property-based decision,human immune system,specialized immune cell,immune cell,immune response,mhc binding peptides,bound protein fragment,mhc-peptide interaction,regular expression,decision rule | Virus,Computer science,Amino acid,Peptide,Algorithm,Major histocompatibility complex,Immune system,Computational biology,Histocompatibility,Programmed cell death,Distributed computing,In silico | Conference |
Volume | ISSN | ISBN |
3686 | 0302-9743 | 3-540-28757-4 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jochen Supper | 1 | 106 | 8.69 |
| Pierre Dönnes | 2 | 206 | 14.93 |
| Oliver Kohlbacher | 3 | 975 | 101.91 |