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A novel sequence-based method of predicting protein DNA-binding residues, using a machine learning approach

✍ Scribed by Yudong Cai; ZhiSong He; Xiaohe Shi; Xiangying Kong; Lei Gu; Lu Xie


Publisher
Korean Society for Molecular and Cellular Biology
Year
2010
Tongue
English
Weight
325 KB
Volume
30
Category
Article
ISSN
1016-8478

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## Abstract The identification of RNA‐binding residues in proteins is important in several areas such as protein function, posttranscriptional regulation and drug design. We have developed PRBR (Prediction of RNA Binding Residues), a novel method for identifying RNA‐binding residues from amino acid