title: A new approach for alignment of multiple proteins.
abstract: We introduce a new graph-based multiple sequence alignment method for protein sequences. We name our method HSA (Horizontal Sequence Alignment) for it horizontally slides a window on the protein sequences simultaneously. Current progressive alignment tools build up final alignment by adding sequences one by one to existing alignment. Thus, they have the shortcoming of order-dependent alignment. In contrast, HSA considers all the proteins at once. It obtains final alignment by concatenating cliques of graph. In order to find a biologically relevant alignment, HSA takes secondary structure information as well as amino acid sequences into account. The experimental results show that HSA achieves higher accuracy compared to existing tools on BAliBASE benchmarks. The improvement is more significant for proteins with low similarity.
authors.affiliation: Department of Computer and Information Sciences and Engineering, University of Florida, Gainesville, FL 32611, USA. xuzhang@cise.ufl.edu
authors.forename: Xu
authors.initials: X
authors.lastname: Zhang
authors.forename: Tamer
authors.initials: T
authors.lastname: Kahveci
mesh_terms: D000465:Algorithms; D000595:Amino Acid Sequence; D019943:Amino Acid Substitution; D019295:Computational Biology; D010446:Peptide Fragments / Q000737:chemistry / Q000235:genetics; D011506:Proteins / Q000737:chemistry* / Q000235:genetics*; D016415:Sequence Alignment / Q000379:methods* / Q000706:statistics & numerical data
chemical_list: D010446:Peptide Fragments; D011506:Proteins