Ulla: a program for calculating environment-specific amino acid substitution tables
نویسندگان
چکیده
منابع مشابه
Ulla: a program for calculating environment-specific amino acid substitution tables
SUMMARY Amino acid residues are under various kinds of local environmental restraints, which influence substitution patterns. Ulla,(1) a program for calculating environment-specific substitution tables, reads protein sequence alignments and local environment annotations. The program produces a substitution table for every possible combination of environment features. Sparse data is handled usin...
متن کاملEnvironment specific substitution tables improve membrane protein alignment
MOTIVATION Membrane proteins are both abundant and important in cells, but the small number of solved structures restricts our understanding of them. Here we consider whether membrane proteins undergo different substitutions from their soluble counterparts and whether these can be used to improve membrane protein alignments, and therefore improve prediction of their structure. RESULTS We cons...
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: Bioinformatics
سال: 2009
ISSN: 1460-2059,1367-4803
DOI: 10.1093/bioinformatics/btp300