title: PseAAC-General: fast building various modes of general form of Chou's pseudo-amino acid composition for large-scale protein datasets.
abstract: The general form pseudo-amino acid composition (PseAAC) has been widely used to represent protein sequences in predicting protein structural and functional attributes. We developed the program PseAAC-General to generate various different modes of Chou's general PseAAC, such as the gene ontology mode, the functional domain mode, and the sequential evolution mode. This program allows the users to define their own desired modes. In every mode, 544 physicochemical properties of the amino acids are available for choosing. The computing efficiency is at least 100 times that of existing programs, which makes it able to facilitate the extensive studies on proteins and peptides. The PseAAC-General is freely available via SourceForge. It runs on both Linux and Windows.
authors.affiliation: School of Computer Science and Technology, Tianjin University, Tianjin 300072, China. pufengdu@gmail.com.
authors.forename: Pufeng
authors.initials: P
authors.lastname: Du
authors.affiliation: School of Computer Science and Technology, Tianjin University, Tianjin 300072, China. shuwanggu@gmail.com.
authors.forename: Shuwang
authors.initials: S
authors.lastname: Gu
authors.affiliation: School of Computer Science and Technology, Tianjin University, Tianjin 300072, China. yasenjiao@gmail.com.
authors.forename: Yasen
authors.initials: Y
authors.lastname: Jiao
mesh_terms: D000596:Amino Acids / Q000737:chemistry*; D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D011506:Proteins / Q000737:chemistry*; D015203:Reproducibility of Results; D012984:Software
chemical_list: D000596:Amino Acids; D011506:Proteins