Sequence-Based Prediction of DNA-Binding Residues in Proteins with Conservation and Correlation Information

• Published in: IEEE/ACM transactions on computational biology and bioinformatics Vol. 9; no. 6; pp. 1766 - 1775
• Main Authors: Ma, Xin, Guo, Jing, Liu, Hong-De, Xie, Jian-Ming, Sun, Xiao
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.11.2012; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Amino Acids; Computational Biology - methods; Correlation; Databases, Protein; DNA; DNA - chemistry; DNA - metabolism; DNA-Binding Proteins - chemistry; DNA-Binding Proteins - metabolism; DNA-binding residues; Evolutionary computation; evolutionary information; Humans; Internet; Models, Molecular; Models, Statistical; physicochemical property; Predictive models; Protein Binding; Proteins; Radio frequency; random forest; ROC Curve; Sequence Analysis, Protein - methods; Support Vector Machine

The recognition of DNA-binding residues in proteins is critical to our understanding of the mechanisms of DNA-protein interactions, gene expression, and for guiding drug design. Therefore, a prediction method DNABR (DNA Binding Residues) is proposed for predicting DNA-binding residues in protein seq...