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TitleParameterized BLOSUM matrices for protein alignment
Creator
Date Issued2015-05-01
Source PublicationIEEE/ACM Transactions on Computational Biology and Bioinformatics
ISSN1545-5963
Volume12Issue:3Pages:686-694
AbstractProtein alignment is a basic step for many molecular biology researches. The BLOSUM matrices, especially BLOSUM62, are the de facto standard matrices for protein alignments. However, after widely utilization of the matrices for 15 years, programming errors were surprisingly found in the initial version of source codes for their generation. And amazingly, after bug correction, the "intended" BLOSUM62 matrix performs consistently worse than the "miscalculated" one. In this paper, we find linear relationships among the eigenvalues of the matrices and propose an algorithm to find optimal unified eigenvectors. With them, we can parameterize matrix BLOSUMx for any given variable x that could change continuously. We compare the effectiveness of our parameterized isentropic matrix with BLOSUM62. Furthermore, an iterative alignment and matrix selection process is proposed to adaptively find the best parameter and globally align two sequences. Experiments are conducted on aligning 13, 667 families of Pfam database and on clustering MHC II protein sequences, whose improved accuracy demonstrates the effectiveness of our proposed method.
KeywordParameterized BLOSUM matrices Protein alignment Substitution matrix
DOI10.1109/TCBB.2014.2366126
URLView source
Language英语English
Scopus ID2-s2.0-84940370058
Citation statistics
Cited Times:19[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/9050
CollectionResearch outside affiliated institution
Affiliation
1.Beijing Engineering Research Center, High Volume Language Information Processing and Cloud Computing Applications, School of Computer Science and Technology, Beijing Institute of Technology,Beijing,100081,China
2.Department of Computer Science, University of Missouri,Columbia,65211,United States
3.City University of Hong Kong, Department of Computer Science,Kowloon,Hong Kong
4.Key Lab of Intelligence Information Processing, Institute of Computing Technology, Chinese Academy of Sciences,Beijing,100190,China
5.Department of Statistics, University of Wisconsin-Madison,Madison,53706,United States
Recommended Citation
GB/T 7714
Song,Dandan,Chen,Jiaxing,Chen,Guanget al. Parameterized BLOSUM matrices for protein alignment[J]. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2015, 12(3): 686-694.
APA Song,Dandan., Chen,Jiaxing., Chen,Guang., Li,Ning., Li,Jin., .. & Li,Shuai Cheng. (2015). Parameterized BLOSUM matrices for protein alignment. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 12(3), 686-694.
MLA Song,Dandan,et al."Parameterized BLOSUM matrices for protein alignment". IEEE/ACM Transactions on Computational Biology and Bioinformatics 12.3(2015): 686-694.
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