首页> 外国专利> METHOD FOR DETERMINING ISOTOPIC CLUSTERS AND MONOISOTOPIC MASSES OF POLYPEPTIDES ON MASS SPECTRA OF COMPLEX POLYPEPTIDE MIXTURES AND COMPUTER-READABLE MEDIUM THEREOF

METHOD FOR DETERMINING ISOTOPIC CLUSTERS AND MONOISOTOPIC MASSES OF POLYPEPTIDES ON MASS SPECTRA OF COMPLEX POLYPEPTIDE MIXTURES AND COMPUTER-READABLE MEDIUM THEREOF

机译:测定复杂多肽混合物质量谱上的多肽的同位素簇和单同位素质量的方法及其计算机可读介质

摘要

Disclosed herein is a method of finding an isotopic cluster in a polypeptide and determining the monoisotopic mass of the cluster. The method comprises an algorithm for finding an isotopic cluster based on a probabilistic model, defined by each of peaks in the isotopic cluster, and determining the monoisotopic mass of the isotopic cluster. The probabilistic model of the isotopic cluster includes characteristic functions for mass, that is, a function of the ratio of two peak intensities, and a function of the product of two ratios obtained from three peaks. These characteristic functions for mass define the shape of peaks acceptable in an actual isotopic cluster for the mass of any isotopic cluster. The algorithm of finding the isotopic cluster based on the functions uses the characteristics to score the degree of the approximation of any isotopic cluster to the spectral shape of a theoretical cluster. First, peaks that can be included in the same isotopic cluster at a distance of 1 Da are found, and then the score is calculated in consideration of, whether the ratio and the product of ratios of peak intensities falls in the range of the previously defined maximum and minimum values of the characteristic functions, and the similarity to the average value. Accordingly, each of isotopic clusters can be determined, and finally, isotopic clusters having an overlapping peak are removed such that each peak is included only in one isotopic cluster, and the monoisotopic mass of each isotopic cluster is determined.
机译:本文公开了在多肽中发现同位素簇并确定簇的单同位素质量的方法。该方法包括一种算法,该算法用于基于概率模型找到同位素簇,该概率模型由同位素簇中的每个峰定义,并确定同位素簇的单同位素质量。同位素簇的概率模型包括质量的特征函数,即两个峰强度之比的函数,以及从三个峰获得的两个比率的乘积的函数。这些质量的特征函数定义了任何同位素簇的质量在实际同位素簇中可接受的峰的形状。基于这些函数查找同位素簇的算法使用该特征对任何同位素簇与理论簇的光谱形状的近似程度进行评分。首先,在1 Da距离处找到可以包含在同一个同位素簇中的峰,然后考虑峰强度的比率和乘积是否落在先前定义的范围内,计算分数特征函数的最大值和最小值,以及与平均值的相似度。因此,可以确定每个同位素簇,最后,除去具有重叠峰的同位素簇,使得每个峰仅包括在一个同位素簇中,并且确定每个同位素簇的单同位素质量。

著录项

  • 公开/公告号US2010114498A1

    专利类型

  • 公开/公告日2010-05-06

    原文格式PDF

  • 申请/专利权人 KUN SOO PARK;

    申请/专利号US20070526607

  • 发明设计人 KUN SOO PARK;

    申请日2007-12-28

  • 分类号G06F19;G06F17/18;

  • 国家 US

  • 入库时间 2022-08-21 18:51:33

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