.png){kind=icon}
返回
Parameterized BLOSUM Matrices for Protein Alignment
.png){kind=icon}
PRE
AI
DOI：10.1109/TCBB.2014.2366126.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Protein 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.
Keyword:
Protein alignment
substitution matrix
parameterized BLOSUM matrices
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
I
IF:
3.4
论文数:
3.3K
被引数:
6.4K
机构
引用论文
.png){kind=icon}
Characterization of polymer matrix and low melting point solder for anisotropic conductive film各向异性导电膜用聚合物基体及低熔点焊料的表征
PREAI
分享收藏分享收藏
查看更多内容