In Print: Bioinformatics Tool-Related Papers of Note, May 2005 | GenomeWeb

Atchley WR, Zhao J, Fernandes AD, Dr ke T. Solving the protein sequence metric problem. [Proc Natl Acad Sci USA 2005 May 3 102(18):6395-400]: Discusses the use of multivariate statistical analyses on almost 500 amino acid attributes to produce a small set of highly interpretable numeric patterns of amino acid variability. These high-dimensional attribute data are summarized by five multidimensional patterns of attribute covariation that reflect polarity, secondary structure, molecular volume, codon diversity, and electrostatic charge.

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