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Journal of Computational Biology
A Transition Probability Model for Amino Acid Substitutions from Blocks
To cite this article:
Shalini Veerassamy, Andrew Smith, Elisabeth R. M. Tillier.
Journal of Computational Biology.
December 2003,
10(6): 997-1010.
doi:10.1089/106652703322756195.
Shalini Veerassamy Ontario Cancer Institute, University Health Network, Toronto, Ontario, Canada Andrew Smith Ontario Cancer Institute, University Health Network, Toronto, Ontario, Canada Elisabeth R. M. Tillier Ontario Cancer Institute, University Health Network, Toronto, Ontario, Canada Substitution matrices have been useful for sequence alignment and protein sequence comparisons. The BLOSUM series of matrices, which had been derived from a database of alignments of protein blocks, improved the accuracy of alignments previously obtained from the PAM-type matrices estimated from only closely related sequences. Although BLOSUM matrices are scoring matrices now widely used for protein sequence alignments, they do not describe an evolutionary model. BLOSUM matrices do not permit the estimation of the actual number of amino acid substitutions between sequences by correcting for multiple hits. The method presented here uses the Blocks database of protein alignments, along with the additivity of evolutionary distances, to approximate the amino acid substitution probabilities as a function of actual evolutionary distance. The PMB (Probability Matrix from Blocks) defines a new evolutionary model for protein evolution that can be used for evolutionary analyses of protein sequences. Our model is directly derived from, and thus compatible with, the BLOSUM matrices. The model has the additional advantage of being easily implemented.  This paper was cited by:Geometric Aspects of Biological Sequence Comparison Aleksandar Stojmirović, Yi-Kuo Yu Journal of Computational Biology. Apr 2009, Vol. 16, No. 4: 579-610 Abstract | Full Text PDF | Reprints & PermissionsAn Improved General Amino Acid Replacement Matrix S. Q. Le, O. Gascuel Molecular Biology and Evolution. May 2008, Vol. 25, No. 7: 1307-1320 CrossRef Efficient Methods for Estimating Amino Acid Replacement Rates Lars Arvestad Journal of Molecular Evolution. Jul 2006, Vol. 62, No. 6: 663-673 CrossRef Codep: Maximizing co-evolutionary interdependencies to discover interacting proteins Elisabeth R. M. Tillier, Laurence Biro, Ginny Li, Desiree Tillo Proteins: Structure, Function, and Bioinformatics. Jul 2006, Vol. 63, No. 4: 822-831 CrossRef Gene Structure and Expression Pattern Analysis of Three Monodehydroascorbate Reductase (Mdhar) Genes
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