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THE METHOD FOR PREDICTING PROTEIN-PROTEIN INTERACTIONS USING SVM

机译:基于支持向量机的蛋白质相互作用预测方法

摘要

A kind of method, for predicting that the interaction between the protein-protein by using SVM (support vector machines) is arranged to reduce predicted time and memory use by using the standby hydrophobic SVM feature vector based on amino acid of computing mechanism. A kind of method, the interaction for predicting between protein-protein include the following steps:: the amino acid sequence of the variable region of two protein of connection; Preparation is by replacing with a SVM feature vector of 1 hydrophobic amino acid and with a hydrophilic amino acid of 0 in the amino acid sequence of variable region, insertion 0 enters the lower-order position of binary sequence, become k for use in the length of the binary sequence of the protein of 1 and 0 replacement, contacts the standardization binary sequence of two protein; Predict that the interaction between protein-protein passes through SVM technical methods SVM feature vectors.
机译:一种用于通过使用SVM(支持向量机)预测蛋白质与蛋白质之间的相互作用的方法,可以利用基于计算机制氨基酸的备用疏水SVM特征向量来减少预测时间和内存使用。一种预测蛋白质与蛋白质之间相互作用的方法包括以下步骤:连接两个蛋白质可变区的氨基酸序列;通过在可变区氨基酸序列中用1个疏水性氨基酸的SVM特征向量和0个亲水性氨基酸代替,插入0进入二进制序列的低位,在长度上变为k 1和0置换蛋白的二进制序列,与两种蛋白的标准化二进制序列接触;预测蛋白质之间的相互作用通过SVM技术方法通过SVM特征向量。

著录项

  • 公开/公告号KR20080085607A

    专利类型

  • 公开/公告日2008-09-24

    原文格式PDF

  • 申请/专利权人 JUNG YOO JIN;

    申请/专利号KR20070027364

  • 发明设计人 JUNG YOO JIN;

    申请日2007-03-20

  • 分类号G01N33/68;G06F19/00;

  • 国家 KR

  • 入库时间 2022-08-21 19:52:58

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