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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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Detalles Bibliográficos
Autores principales: Du, Pufeng, Gu, Shuwang, Jiao, Yasen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3975349/
https://www.ncbi.nlm.nih.gov/pubmed/24577312
http://dx.doi.org/10.3390/ijms15033495
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author Du, Pufeng
Gu, Shuwang
Jiao, Yasen
author_facet Du, Pufeng
Gu, Shuwang
Jiao, Yasen
author_sort Du, Pufeng
collection PubMed
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.
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spelling pubmed-39753492014-04-04 PseAAC-General: Fast Building Various Modes of General Form of Chou’s Pseudo-Amino Acid Composition for Large-Scale Protein Datasets Du, Pufeng Gu, Shuwang Jiao, Yasen Int J Mol Sci Technical Note 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. Molecular Diversity Preservation International (MDPI) 2014-02-26 /pmc/articles/PMC3975349/ /pubmed/24577312 http://dx.doi.org/10.3390/ijms15033495 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland http://creativecommons.org/licenses/by/3.0/ This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Technical Note
Du, Pufeng
Gu, Shuwang
Jiao, Yasen
PseAAC-General: Fast Building Various Modes of General Form of Chou’s Pseudo-Amino Acid Composition for Large-Scale Protein Datasets
title 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_short 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
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3975349/
https://www.ncbi.nlm.nih.gov/pubmed/24577312
http://dx.doi.org/10.3390/ijms15033495
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