4.7 Article

PseAAC-General: Fast Building Various Modes of General Form of Chou's Pseudo-Amino Acid Composition for Large-Scale Protein Datasets

期刊

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
卷 15, 期 3, 页码 3495-3506

出版社

MDPI
DOI: 10.3390/ijms15033495

关键词

general form; large-scale datasets; pseudo-amino acid composition

资金

  1. National Science Foundation of China [NSFC 61005041]
  2. Specialized Research Fund for the Doctoral Program of Higher Education [SRFDP 20100032120039]
  3. Tianjin Natural Science Foundation [12JCQNJC02300]
  4. China Post-doctoral Science Foundation [2012T50240, 2013M530114]
  5. HK Scholar Program [XJ2012033]
  6. Seed Foundation of Tianjin University [60302006, 60302024]

向作者/读者索取更多资源

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.

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