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Method for predicting dynamic protein function including subcellular localization of protein under stressful conditions

机译:预测动态蛋白质功能的方法,包括在压力条件下蛋白质的亚细胞定位

摘要

PURPOSE: A method for predicting a dynamic protein function including the subcellular localization of protein is provided to predict the subcellular location of the protein under stressful conditions by inputting the information of target protein and neighboring protein into a network. CONSTITUTION: A static feature is generated by inputting the static characteristic of target protein(S110). A static network is generated by inputting the interaction information of static protein(S120). A network feature is generated by applying the static characteristic of the target protein and neighboring protein to the static network(S130). A location-feature model is generated by using the static feature and the network feature(S140). A dynamic network is generated(S160). A protein feature is generated by applying the static characteristic and the location information of the target protein to the dynamic network(S170). The location of the target protein is predicted based on the protein feature and the location-feature model(S180).
机译:目的:提供一种预测动态蛋白质功能的方法,其中包括蛋白质的亚细胞定位,通过将目标蛋白质和邻近蛋白质的信息输入网络,来预测在压力条件下蛋白质的亚细胞位置。组成:静态特征是通过输入目标蛋白的静态特征而产生的(S110)。通过输入静态蛋白质的相互作用信息来生成静态网络(S120)。通过将目标蛋白质和邻近蛋白质的静态特征应用于静态网络来生成网络特征(S130)。通过使用静态特征和网络特征来生成位置特征模型(S140)。生成动态网络(S160)。通过将目标蛋白质的静态特征和位置信息应用于动态网络来生成蛋白质特征(S170)。基于蛋白质特征和位置特征模型来预测目标蛋白质的位置(S180)。

著录项

  • 公开/公告号KR101255437B1

    专利类型

  • 公开/公告日2013-04-17

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR20110001977

  • 发明设计人 이기영;

    申请日2011-01-07

  • 分类号G06F19/16;G06F19/26;

  • 国家 KR

  • 入库时间 2022-08-21 16:25:21

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