State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Radiation Medicine,State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Radiation Medicine,State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Radiation Medicine
This work was supported by grants from The National Natural Science Foundation of China (31671376), the Beijing Nova Program (Z161100004916148), the International Science & Technology Cooperation Program of China (2014DFB30020, 2014DFB30010), the National Major Scientific Research Program (2015CB910700, 2014CBA02001) and the Foundation of State Key Lab of Proteomics (SKLP-O201404, SKLP-O201507)
C2H2 zinc finger proteins represent the largest family of transcription factors in mammalian. Their C2H2 zinc finger arrays are highly variable, indicating that most of them have unique DNA binding motifs, regulating different genes and playing diversified roles. However, the detailed regulatory functions of many C2H2 zinc finger proteins are unknown because of the unclear target sequences. The prediction of DNA-binding preferences of C2H2 zinc finger proteins is a commendable approach to figure it out. In this review, the canonical recognition pattern of C2H2 zinc fingers binding DNA was described. The prediction models of DNA-binding preferences of C2H2 zinc finger proteins according to their methods, training datasets, and golden standard datasets were summarized. This review is of great benefit to the comprehensive understanding of the prediction models of DNA-binding preferences of C2H2 zinc finger proteins. All of these information will facilitate the further theoretical and applied studies of C2H2 zinc finger proteins.
SHEN Pan, YANG Dong, HE Fu-Chu. The Advancement of The Prediction Methods for DNA-binding Preferences of C2H2 Zinc Finger Proteins[J]. Progress in Biochemistry and Biophysics,2017,44(7):573-579
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