Abstract
Backgrounds: In the last decade, the computational prediction of structural and functional protein attributes has been applied in nearly every field of protein science. The fundamental challenge of computationally predicting protein attributes is to represent the protein sequence in a length-fixed digital vector. For this purpose, Chou proposed a pseudo-amino acid composition method that has been widely applied in almost every branch of computational protein science.
Conclusions: In this review, we will first introduce the background and history of pseudo-amino acid composition and focus on the software implementation of this widely used algorithm and the enhancements that have been developed since its creation.
Keywords: Pseudo-amino acid composition, PseAAC Server, PseAAC-Builder, algorithm enhancements.
Current Proteomics
Title:A Brief Review on Software Implementations and Algorithm Enhancements of Chou’s Pseudo-Amino Acid Compositions
Volume: 13 Issue: 2
Author(s): Pu-Feng Du
Affiliation:
Keywords: Pseudo-amino acid composition, PseAAC Server, PseAAC-Builder, algorithm enhancements.
Abstract: Backgrounds: In the last decade, the computational prediction of structural and functional protein attributes has been applied in nearly every field of protein science. The fundamental challenge of computationally predicting protein attributes is to represent the protein sequence in a length-fixed digital vector. For this purpose, Chou proposed a pseudo-amino acid composition method that has been widely applied in almost every branch of computational protein science.
Conclusions: In this review, we will first introduce the background and history of pseudo-amino acid composition and focus on the software implementation of this widely used algorithm and the enhancements that have been developed since its creation.
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Cite this article as:
Du Pu-Feng, A Brief Review on Software Implementations and Algorithm Enhancements of Chou’s Pseudo-Amino Acid Compositions, Current Proteomics 2016; 13 (2) . https://dx.doi.org/10.2174/157016461302160514003628
DOI https://dx.doi.org/10.2174/157016461302160514003628 |
Print ISSN 1570-1646 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-6247 |
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