| Literature DB >> 17976365 |
Hong-Bin Shen1, Kuo-Chen Chou.
Abstract
The pseudo amino acid (PseAA) composition can represent a protein sequence in a discrete model without completely losing its sequence-order information, and hence has been widely applied for improving the prediction quality for various protein attributes. However, dealing with different problems may need different kinds of PseAA composition. Here, we present a web-server called PseAAC at http://chou.med.harvard.edu/bioinf/PseAA/, by which users can generate various kinds of PseAA composition to best fit their need.Entities:
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Year: 2007 PMID： 17976365 DOI： 10.1016/j.ab.2007.10.012
Source DB: PubMed Journal: Anal Biochem ISSN： 0003-2697 Impact factor: 3.365