An improved sequence based prediction protocol for DNA-binding proteins using SVM and comprehensive feature analysis.

ABSTRACT:

Background

DNA-binding proteins (DNA-BPs) play a pivotal role in both eukaryotic and prokaryotic proteomes. There have been several computational methods proposed in the literature to deal with the DNA-BPs, many informative features and properties were used and proved to have significant impact on this problem. However the ultimate goal of Bioinformatics is to be able to predict the DNA-BPs directly from primary sequence.

Results

In this work, the focus is how to transform these informative features into uniform numeric representation appropriately and improve the prediction accuracy of our SVM-based classifier for DNA-BPs. A systematic representation of some selected features known to perform well is investigated here. Firstly, four kinds of protein properties are obtained

SUBMITTER: Zou C 

PROVIDER: S-EPMC3602657 | biostudies-literature | 2013 Mar

REPOSITORIES: biostudies-literature