title: Using pseudo amino acid composition to predict protein subcellular location: approached with Lyapunov index, Bessel function, and Chebyshev filter.
abstract: With the avalanche of new protein sequences we are facing in the post-genomic era, it is vitally important to develop an automated method for fast and accurately determining the subcellular location of uncharacterized proteins. In this article, based on the concept of pseudo amino acid composition (Chou, K.C. Proteins: Structure, Function, and Genetics, 2001, 43: 246-255), three pseudo amino acid components are introduced via Lyapunov index, Bessel function, Chebyshev filter that can be more efficiently used to deal with the chaos and complexity in protein sequences, leading to a higher success rate in predicting protein subcellular location.
authors.affiliation: Bioinformation Research Centre, Donghua University, Shanghai, China.
authors.forename: Y
authors.initials: Y
authors.lastname: Gao
authors.forename: S
authors.initials: S
authors.lastname: Shao
authors.forename: X
authors.initials: X
authors.lastname: Xiao
authors.forename: Y
authors.initials: Y
authors.lastname: Ding
authors.forename: Y
authors.initials: Y
authors.lastname: Huang
authors.forename: Z
authors.initials: Z
authors.lastname: Huang
authors.forename: K-C
authors.initials: KC
authors.lastname: Chou
mesh_terms: D000595:Amino Acid Sequence; D008954:Models, Biological; D021381:Protein Transport / Q000502:physiology; D011506:Proteins / Q000737:chemistry / Q000378:metabolism*
chemical_list: D011506:Proteins