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.
| Original language | English |
|---|---|
| Pages (from-to) | 105-112 |
| Journal | Current Proteomics |
| Volume | 13 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Jun 2016 |
Funding
This work was supported by the National Science Foundation of China (NSFC 61005041), the PhD Programs Foundation of Ministry of Education of China (No. 20100032120039), Tianjin Natural Science Foundation (No. 12JCQNJC02300), the Seed Foundation of Tianjin University (No. 60302006 and 60302024), and the China Postdoctoral Science Foundation (No. 2012T50240).
Research Keywords
- Pseudo-amino acid composition
- PseAAC Server
- PseAAC-Builder
- algorithm enhancements
- PREDICTING SUBCELLULAR-LOCALIZATION
- SUPPORT VECTOR MACHINE
- MEMBRANE-PROTEIN TYPES
- FUNCTIONAL DOMAIN COMPOSITION
- DISCRETE WAVELET TRANSFORM
- REMOTE HOMOLOGY DETECTION
- TOP-DOWN APPROACH
- SEQUENTIAL EVOLUTION INFORMATION
- TUPLE NUCLEOTIDE COMPOSITION
- PRINCIPAL COMPONENT ANALYSIS
Fingerprint
Dive into the research topics of 'A Brief Review on Software Implementations and Algorithm Enhancements of Chou's Pseudo-Amino Acid Compositions'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver