Abstract
The interaction between T-cell receptor (TCR) complexes exposed on CD4+ T lymphocytes and exogenous antigenic peptides (p) displayed by dimeric, major histocompatibility complex class II protein complexes (MHCII) constitutes a significant step in the activation of humoral immunity. As TCRs can only bind to MHCII-presented antigenic peptides, the binding of peptides to MHCII is a crucial bottleneck within adaptive immune responses. Therefore, the knowledge about which peptides bind to a particular MHCII is of interest in many medical applications. The high sequence variation of MHCII and the great reservoir of potential MHCII-binding peptides significantly raise costs for experimental approaches aiming to determine MHCII-peptide binding data. Therefore, a plethora of sequence-based bioinformatics approaches has been developed. Here, we present a new structure-based approach to computationally model the p-MHCII interaction on the basis of the previously published IRECS algorithm in combination with the ROTA potentials2,3. The method allows modeling high quality complex structures and shows a good correlation between the RMSD of the modeled structures and the corresponding peptide binding score.
Original language | English |
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State | Published - 2011 |
Event | 2011 German Conference on Bioinformatics, GCB 2011 - Freising, Germany Duration: 7 Sep 2011 → 9 Sep 2011 |
Conference
Conference | 2011 German Conference on Bioinformatics, GCB 2011 |
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Country/Territory | Germany |
City | Freising |
Period | 7/09/11 → 9/09/11 |