Invention Grant
US08321153B2 Method for determining isotopic clusters and monoisotopic masses of polypeptides on mass spectra of complex polypeptide mixtures and computer-readable medium thereof
有权
用于在复合多肽混合物的质谱上测定多肽的同位素簇和单同位物质的方法及其计算机可读介质
- Patent Title: Method for determining isotopic clusters and monoisotopic masses of polypeptides on mass spectra of complex polypeptide mixtures and computer-readable medium thereof
- Patent Title (中): 用于在复合多肽混合物的质谱上测定多肽的同位素簇和单同位物质的方法及其计算机可读介质
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Application No.: US12526607Application Date: 2007-12-28
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Publication No.: US08321153B2Publication Date: 2012-11-27
- Inventor: Kun Soo Park , Joo Young Yoon , Sun Ho Lee , Eun Ok Paek , Hee Jin Park , Sang Won Lee
- Applicant: Kun Soo Park , Joo Young Yoon , Sun Ho Lee , Eun Ok Paek , Hee Jin Park , Sang Won Lee
- Applicant Address: KR Seoul KR Seoul
- Assignee: SNU R & DB Foundation,University of Seoul Foundation of Industry Academic Cooperation
- Current Assignee: SNU R & DB Foundation,University of Seoul Foundation of Industry Academic Cooperation
- Current Assignee Address: KR Seoul KR Seoul
- Priority: KR10-2007-0013405 20070208
- International Application: PCT/KR2007/006937 WO 20071228
- International Announcement: WO2008/096962 WO 20080814
- Main IPC: G01N33/48
- IPC: G01N33/48 ; G01N33/50 ; G01N31/00 ; C12Q1/00

Abstract:
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.
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