Prediction of DNA-binding residues from protein sequence information using random forests.

ABSTRACT:

Background

Protein-DNA interactions are involved in many biological processes essential for cellular function. To understand the molecular mechanism of protein-DNA recognition, it is necessary to identify the DNA-binding residues in DNA-binding proteins. However, structural data are available for only a few hundreds of protein-DNA complexes. With the rapid accumulation of sequence data, it becomes an important but challenging task to accurately predict DNA-binding residues directly from amino acid sequence data.

Results

A new machine learning approach has been developed in this study for predicting DNA-binding residues from amino acid sequence data. The approach used both the labelled data instances collected from the available structures of protein-DNA complexes and the abu

SUBMITTER: Wang L 

PROVIDER: S-EPMC2709252 | biostudies-literature | 2009 Jul

REPOSITORIES: biostudies-literature