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PREDICTING PEPTIDE INTERACTIONS WITH MODEL CLASS II MHC STRUCTURES

机译:使用II类MHC结构预测肽相互作用

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摘要

An automated method for constructing 3D models of class II MHC structures that uses constraint logic programming to select side-chain conformations is described. This method follows a comparative modeling approach in basing the model structures on experimentally determined MHC-peptide structures, but it uses constraints to ease open the peptide binding groove so that the modeled MHC structure is a less specific fit for the co-crystallized peptide in the starting structure. The resulting models are used by a "peptide threading" program that attempts to predict peptides from a protein sequence that will bind strongly to particular MHC alleles. Our results indicate that MHC models that have been constructed in this way enable the peptide threading program to make binding predictions that are comparable with those obtained when using experimentally determined MHC structures, suggesting that a combined modeling and peptide threading approach is worth pursuing for MHC molecules for which experimentally determined structures are not available.
机译:描述了使用约束逻辑编程来选择侧链构象的用于构造II类MHC结构的3D模型的自动化方法。该方法遵循比较建模方法,将模型结构建立在实验确定的MHC肽结构的基础上,但是它使用约束条件来缓解肽结合槽的打开,因此建模的MHC结构不太适合于MHC肽中的共结晶肽。起始结构。所得的模型由“肽穿线”程序使用,该程序试图从将强烈结合特定MHC等位基因的蛋白质序列中预测肽。我们的结果表明,以这种方式构建的MHC模型能够使肽穿线程序做出与使用实验确定的MHC结构获得的结合预测可比的结合预测,表明对于MHC分子而言,结合建模和肽穿入方法是值得追求的无法通过实验确定的结构。

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