title: A protein map and its application.
abstract: Graphical representation of gene sequences provides a simple way of viewing, sorting, and comparing various gene structures. Here we first report a two-dimensional graphical representation for protein sequences. With this method, we constructed the moment vectors for protein sequences, and mathematically proved that the correspondence between moment vectors and protein sequences is one-to-one. Therefore, each protein sequence can be represented as a point in a map, which we call protein map, and cluster analysis can be used for comparison between the points. Sixty-six proteins from five protein families were analyzed using this method. Our data showed that for proteins in the same family, their corresponding points in the map are close to each other. We also illustrate the efficiency of this approach by performing an extensive cluster analysis of the protein kinase C family. These results indicate that this protein map could be used to mathematically specify the similarity of two proteins and predict properties of an unknown protein based on its amino acid sequence.
authors.affiliation: Department of Mathematics, Statistics, and Computer Science, University of Illinois at Chicago, Chicago, Illinois 60607-7045, USA. yau@uic.edu
authors.forename: Stephen S-T
authors.initials: SS
authors.lastname: Yau
authors.forename: Chenglong
authors.initials: C
authors.lastname: Yu
authors.forename: Rong
authors.initials: R
authors.lastname: He
mesh_terms: D000465:Algorithms; D016000:Cluster Analysis; D016208:Databases, Factual; D010802:Phylogeny; D011506:Proteins / Q000737:chemistry* / Q000145:classification*
chemical_list: D011506:Proteins