FLU, an amino acid substitution model for influenza proteins
نویسندگان
چکیده
منابع مشابه
Revisiting amino acid substitution matrices for identifying distantly related proteins
MOTIVATION Although many amino acid substitution matrices have been developed, it has not been well understood which is the best for similarity searches, especially for remote homology detection. Therefore, we collected information related to existing matrices, condensed it and derived a novel matrix that can detect more remote homology than ever. RESULTS Using principal component analysis wi...
متن کاملA metric model of amino acid substitution
MOTIVATION We address the question of whether there exists an effective evolutionary model of amino-acid substitution that forms a metric-distance function. There is always a trade-off between speed and sensitivity among competing computational methods of determining sequence homology. A metric model of evolution is a prerequisite for the development of an entire class of fast sequence analysis...
متن کاملAmino Acid Substitution Scores
GNPKVKAH Here we discuss standard ways of assigning a score to each amino acid pair, i.e., to each possible column of a gap-free pairwise protein alignment. Examples of such scoring matrices include the PAM30, PAM70, BLOSUM80, BLOSUM62 and BLOSUM45 matrices that are available on NCBI’s blastp server. Such scores are appropriate for comparing two sequences about which we have no other informatio...
متن کاملAmino Acid Substitution Scores
GNPKVKAH Here we discuss standard ways of assigning a score to each amino acid pair, i.e., to each possible column of a gap-free pairwise protein alignment. Examples of such scoring matrices include the PAM30, PAM70, BLOSUM80, BLOSUM62 and BLOSUM45 matrices that are available on NCBI’s blastp server. Such scores are appropriate for comparing two sequences about which we have no other informatio...
متن کاملAmino acid substitution matrices.
The BLOSUM (BLOck SUbstitution Matrices) matrices were derived by Steven and Jorja Henikoff in 1992 1. They were based on a much larger data set than the PAM matrices, and used conserved local alignments or “blocks,” rather than global alignments of very closely related sequences. In order to account for different degrees of sequence divergence, the Henikoffs used clustering rather than an expl...
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ژورنال
عنوان ژورنال: BMC Evolutionary Biology
سال: 2010
ISSN: 1471-2148
DOI: 10.1186/1471-2148-10-99