IDNAProt-ES: Identification of DNA-binding Proteins Using Evolutionary and Structural Features.

ABSTRACT: DNA-binding proteins play a very important role in the structural composition of the DNA. In addition, they regulate and effect various cellular processes like transcription, DNA replication, DNA recombination, repair and modification. The experimental methods used to identify DNA-binding proteins are expensive and time consuming and thus attracted researchers from computational field to address the problem. In this paper, we present iDNAProt-ES, a DNA-binding protein prediction method that utilizes both sequence based evolutionary and structure based features of proteins to identify their DNA-binding functionality. We used recursive feature elimination to extract an optimal set of features and train them using Support Vector Machine (SVM) with linear kernel to select the final model. Our

SUBMITTER: Chowdhury SY 

PROVIDER: S-EPMC5668250 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature