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A Review of DNA-binding Protein Prediction Methods

Author(s):

Kaiyang Qu and Quan Zou*  

Abstract:


DNA-binding proteins, binding to DNA, widely exist in living cells, participating in many cell activities. They can participate some DNA-related cell activities, for instance DNA replication, transcription, recombination, and DNA repair. Given the importance of DNA-binding proteins, studies for predicting the DNA-binding proteins have been a popular issue over the past decades. Meanwhile, the prediction methods of DNA-binding protein can be divided into two types, based on amino acid composition and based on protein structure. In this article, we review current machine-learning methods which research on the prediction of DNA-binding proteins through feature representation methods, classifiers, measurements, dataset and existing web server.

Keywords:

DNA-binding protein, prediction, feature representation methods, measurements, classifiers, webservers

Affiliation:

School of Computer Science and Technology, Tianjin University, Tianjin 300354, School of Computer Science and Technology, Tianjin University, Tianjin 300354



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