PseAAC-General: Fast Building Various Modes of General Form of Chou’s Pseudo-Amino Acid Composition for Large-Scale Protein Datasets
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...
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doaj-4ffd501635194c0686a21dcd2baf68a82020-11-24T23:55:28ZengMDPI AGInternational Journal of Molecular Sciences1422-00672014-02-011533495350610.3390/ijms15033495ijms15033495PseAAC-General: Fast Building Various Modes of General Form of Chou’s Pseudo-Amino Acid Composition for Large-Scale Protein DatasetsPufeng Du0Shuwang Gu1Yasen Jiao2School of Computer Science and Technology, Tianjin University, Tianjin 300072, ChinaSchool of Computer Science and Technology, Tianjin University, Tianjin 300072, ChinaSchool of Computer Science and Technology, Tianjin University, Tianjin 300072, ChinaThe 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.http://www.mdpi.com/1422-0067/15/3/3495general formlarge-scale datasetspseudo-amino acid composition |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Pufeng Du Shuwang Gu Yasen Jiao |
spellingShingle |
Pufeng Du Shuwang Gu Yasen Jiao PseAAC-General: Fast Building Various Modes of General Form of Chou’s Pseudo-Amino Acid Composition for Large-Scale Protein Datasets International Journal of Molecular Sciences general form large-scale datasets pseudo-amino acid composition |
author_facet |
Pufeng Du Shuwang Gu Yasen Jiao |
author_sort |
Pufeng Du |
title |
PseAAC-General: Fast Building Various Modes of General Form of Chou’s Pseudo-Amino Acid Composition for Large-Scale Protein Datasets |
title_short |
PseAAC-General: Fast Building Various Modes of General Form of Chou’s Pseudo-Amino Acid Composition for Large-Scale Protein Datasets |
title_full |
PseAAC-General: Fast Building Various Modes of General Form of Chou’s Pseudo-Amino Acid Composition for Large-Scale Protein Datasets |
title_fullStr |
PseAAC-General: Fast Building Various Modes of General Form of Chou’s Pseudo-Amino Acid Composition for Large-Scale Protein Datasets |
title_full_unstemmed |
PseAAC-General: Fast Building Various Modes of General Form of Chou’s Pseudo-Amino Acid Composition for Large-Scale Protein Datasets |
title_sort |
pseaac-general: fast building various modes of general form of chou’s pseudo-amino acid composition for large-scale protein datasets |
publisher |
MDPI AG |
series |
International Journal of Molecular Sciences |
issn |
1422-0067 |
publishDate |
2014-02-01 |
description |
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. |
topic |
general form large-scale datasets pseudo-amino acid composition |
url |
http://www.mdpi.com/1422-0067/15/3/3495 |
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