Unknown

Dataset Information

Analysis and prediction of single-stranded and double-stranded DNA binding proteins based on protein sequences.


ABSTRACT:

Background

DNA-binding proteins perform important functions in a great number of biological activities. DNA-binding proteins can interact with ssDNA (single-stranded DNA) or dsDNA (double-stranded DNA), and DNA-binding proteins can be categorized as single-stranded DNA-binding proteins (SSBs) and double-stranded DNA-binding proteins (DSBs). The identification of DNA-binding proteins from amino acid sequences can help to annotate protein functions and understand the binding specificity. In this study, we systematically consider a variety of schemes to represent protein sequences: OAAC (overall amino acid composition) features, dipeptide compositions, PSSM (position-specific scoring matrix profiles) and split amino acid composition (SAA), and then we adopt SVM (support vector machine

SUBMITTER: Wang W 

PROVIDER: S-EPMC5469069 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature