title: Protein space: a natural method for realizing the nature of protein universe.
abstract: Current methods cannot tell us what the nature of the protein universe is concretely. They are based on different models of amino acid substitution and multiple sequence alignment which is an NP-hard problem and requires manual intervention. Protein structural analysis also gives a direction for mapping the protein universe. Unfortunately, now only a minuscule fraction of proteins' 3-dimensional structures are known. Furthermore, the phylogenetic tree representations are not unique for any existing tree construction methods. Here we develop a novel method to realize the nature of protein universe. We show the protein universe can be realized as a protein space in 60-dimensional Euclidean space using a distance based on a normalized distribution of amino acids. Every protein is in one-to-one correspondence with a point in protein space, where proteins with similar properties stay close together. Thus the distance between two points in protein space represents the biological distance of the corresponding two proteins. We also propose a natural graphical representation for inferring phylogenies. The representation is natural and unique based on the biological distances of proteins in protein space. This will solve the fundamental question of how proteins are distributed in the protein universe.
authors.affiliation: Department of Mathematics, Statistics and Computer Science, University of Illinois at Chicago, Chicago, IL, USA.
authors.forename: Chenglong
authors.initials: C
authors.lastname: Yu
authors.forename: Mo
authors.initials: M
authors.lastname: Deng
authors.forename: Shiu-Yuen
authors.initials: SY
authors.lastname: Cheng
authors.forename: Shek-Chung
authors.initials: SC
authors.lastname: Yau
authors.forename: Rong L
authors.initials: RL
authors.lastname: He
authors.forename: Stephen S-T
authors.initials: SS
authors.lastname: Yau
mesh_terms: D000465:Algorithms; D000596:Amino Acids / Q000032:analysis; D000818:Animals; D030562:Databases, Protein; D008958:Models, Molecular; D010802:Phylogeny; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry*
chemical_list: D000596:Amino Acids; D011506:Proteins