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COMPUTATIONAL METHOD FOR CLASSIFYING AND PREDICTING PROTEIN SIDE CHAIN CONFORMATIONS

机译:蛋白质侧链构象分类和预测的计算方法

摘要

Computational methods for classifying and predicting protein side chain conformations utilizing a data driven scoring function are disclosed. According to some embodiments, the methods may include obtaining structure data representing a plurality of conformations of a compound. The methods may also include determining structural differences among the conformations. The methods may also include classifying, based on the structural differences, the conformations into one or more clusters. The methods may also include determining representative conformations of the dusters, wherein an average structural difference between a representative conformation of a duster and conformations in the duster is below a predetermined threshold. The method may further include determining the representative conformations as poses of the compound.
机译:公开了利用数据驱动的评分功能对蛋白质侧链构象进行分类和预测的计算方法。根据一些实施方案,所述方法可以包括获得表示化合物的多种构象的结构数据。该方法还可包括确定构象之间的结构差异。所述方法还可包括基于结构差异将构象分类为一个或多个簇。该方法还可包括确定determining子的代表性构象,其中,er子的代表性构象和dust子中的构象之间的平均结构差异在预定阈值以下。该方法可以进一步包括将代表性构象确定为化合物的姿势。

著录项

  • 公开/公告号EP3455236A1

    专利类型

  • 公开/公告日2019-03-20

    原文格式PDF

  • 申请/专利权人 ACCUTAR BIOTECHNOLOGY INC.;

    申请/专利号EP20170796752

  • 发明设计人 FAN JIE;LIU KE;

    申请日2017-05-10

  • 分类号C07K1;G06F17/50;G06F19/10;G06F19/16;G06F19/22;

  • 国家 EP

  • 入库时间 2022-08-21 12:28:10

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