Computational Resources for MHC Ligand Identification
Advances in the high‐throughput determination of functional modulators of major histocompatibility complex (MHC) and improved computational predictions of MHC ligands have rendered the rational design of immunomodulatory peptides feasible. Proteome‐derived peptides and ‘reverse vaccinology’ by compu...
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| Veröffentlicht in: | Molecular informatics 2013-04, Vol.32 (4), p.326-336 |
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| container_title | Molecular informatics |
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| creator | Koch, Christian P. Pillong, Max Hiss, Jan A. Schneider, Gisbert |
| description | Advances in the high‐throughput determination of functional modulators of major histocompatibility complex (MHC) and improved computational predictions of MHC ligands have rendered the rational design of immunomodulatory peptides feasible. Proteome‐derived peptides and ‘reverse vaccinology’ by computational means will play a driving role in future vaccine design. Here we review the molecular mechanisms of the MHC mediated immune response, present the computational approaches that have emerged in this area of biotechnology, and provide an overview of publicly available computational resources for predicting and designing new peptidic MHC ligands. |
| doi_str_mv | 10.1002/minf.201300042 |
| format | Article |
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Here we review the molecular mechanisms of the MHC mediated immune response, present the computational approaches that have emerged in this area of biotechnology, and provide an overview of publicly available computational resources for predicting and designing new peptidic MHC ligands.</description><subject>Bioinformatics</subject><subject>Epitope</subject><subject>Immunology</subject><subject>Ligands</subject><subject>Major histocompatibility complex</subject><subject>Peptide design</subject><subject>Prediction</subject><subject>Vaccine</subject><issn>1868-1743</issn><issn>1868-1751</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNqF0M0vA0EYBvCJEARXR9nExWVrvj-ONFSlJYRIXCbT2Xdl2I_a2Q3-e0urERenmcPveZL3QWif4AHBmB6XocoHFBOGMeZ0DW0TLXVKlCDrqz9nW2gvxueeYEal0mYTbVHFNRHabCMxrMt517o21JUrkluIddd4iEleN8n0YphMwpOrsmScQdWGPPhvuYs2cldE2Fu-O-j-_OxueJFOrkfj4ckk9ZxrmjKimee5F4oANY45g7NZppV2hgvJhTHAMumBc2W8BgGCSBBUECA5nTHDdtDRonfe1K8dxNaWIXooCldB3UVLNNYSM8FZTw__0Of-kv6mXiksDeWGyF4NFso3dYwN5HbehNI1H5Zg-7Wp_drUrjbtAwfL2m5WQrbiPwv2wCzAWyjg4586Ox1fnf8uTxfZEFt4X2Vd82KlYkrYh6uRfRzdXJq701sr2See3o9Y</recordid><startdate>201304</startdate><enddate>201304</enddate><creator>Koch, Christian P.</creator><creator>Pillong, Max</creator><creator>Hiss, Jan A.</creator><creator>Schneider, Gisbert</creator><general>WILEY-VCH Verlag</general><general>WILEY‐VCH Verlag</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7TM</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>JQ2</scope><scope>K9.</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>201304</creationdate><title>Computational Resources for MHC Ligand Identification</title><author>Koch, Christian P. ; Pillong, Max ; Hiss, Jan A. ; Schneider, Gisbert</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4482-3183c4fc571e29a3a90dbd878a94564599e3d6ce4479c8e5e516e5251e1f2b393</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Bioinformatics</topic><topic>Epitope</topic><topic>Immunology</topic><topic>Ligands</topic><topic>Major histocompatibility complex</topic><topic>Peptide design</topic><topic>Prediction</topic><topic>Vaccine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Koch, Christian P.</creatorcontrib><creatorcontrib>Pillong, Max</creatorcontrib><creatorcontrib>Hiss, Jan A.</creatorcontrib><creatorcontrib>Schneider, Gisbert</creatorcontrib><collection>Istex</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Molecular informatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Koch, Christian P.</au><au>Pillong, Max</au><au>Hiss, Jan A.</au><au>Schneider, Gisbert</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Computational Resources for MHC Ligand Identification</atitle><jtitle>Molecular informatics</jtitle><addtitle>Mol. 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| fulltext | fulltext |
| identifier | ISSN: 1868-1743 |
| ispartof | Molecular informatics, 2013-04, Vol.32 (4), p.326-336 |
| issn | 1868-1743 1868-1751 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1808603543 |
| source | Wiley Online Library Journals Frontfile Complete |
| subjects | Bioinformatics Epitope Immunology Ligands Major histocompatibility complex Peptide design Prediction Vaccine |
| title | Computational Resources for MHC Ligand Identification |
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