title: Recognizing very distant sequence relationships among proteins by family profile analysis.
abstract: Family profile analysis (FPA), described in this paper, compares all available homologous amino acid sequences of a target family with the profile of a probe family while conventional sequence profile analysis (Gribskov M, Lüthy R, Eisenberg D. Meth Enzymol 1990;183:146-159) considers only a single target sequence in comparison with the probe family. The increased input of sequence information in FPA expands the range for sequence-based recognition of structural relationships. In the FPA algorithm, Zscores of each of the target sequences, obtained from a probe profile search over all known amino acid sequences, are averaged and then compared with the scores for sequences of 100 reference families in the same probe family search. The resulting F-Zscore of the target family, expressed in "effective standard deviations" of the mean Zscores of the reference families, with value above a threshold of 3.5 indicates a statistically significant evolutionary relationship between the target and probe families. The sensitivity of FPA to sequence information was tested with several protein families where distant relationships have been verified from known tertiary protein architectures, which included vitamin B6-dependent enzymes, (beta/alpha)8-barrel proteins, beta-trefoil proteins, and globins. In comparison to other methods, FPA proved to be significantly more sensitive, finding numerous new homologies. The FPA technique is not only useful to test a suspected relationship between probe and target families but also identifies possible target families in profile searches over all known primary structures.
authors.affiliation: Biochemisches Institut der Universität Zürich, Switzerland.
authors.forename: P K
authors.initials: PK
authors.lastname: Mehta
authors.forename: P
authors.initials: P
authors.lastname: Argos
authors.forename: A D
authors.initials: AD
authors.lastname: Barbour
authors.forename: P
authors.initials: P
authors.lastname: Christen
mesh_terms: D000465:Algorithms; D019143:Evolution, Molecular; D017510:Protein Folding; D011506:Proteins / Q000737:chemistry*
chemical_list: D011506:Proteins