Chinese Physics B, Volume. 29, Issue 10, (2020)
Methods and applications of RNA contact prediction
Fig. 1. The direct and indirect contacts in RNA structure. The interactions of
Fig. 2. The co-evolution based RNA contact prediction. The co-evolution based contact prediction can identify the RNA intramolecular contacts from the homologous sequence across different species. The solid black lines, red dots, and green dotted lines represent RNA sequences, nucleotides, and RNA contacts, respectively. The HIV-1 RNA (PDB code: 5L1Z, N chain)[
Fig. 3. The accuracy of RNA intramolecular contact prediction methods. The accuracy (positive predictive value, PPV) of MI, mfDCA, plmDCA, and DIRECT are 0.26, 0.28, 0.31, and 0.34, respectively.
Fig. 4. The accuracy of RNA intermolecular contact prediction methods. The accuracy (positive predictive value, PPV) of Rsite, Rsite2, RBind, and PRIdictor are 0.62, 0.64, 0.67, and 0.62, respectively.
Fig. 5. The structure-based RNA contact prediction. The RNA or RNA complex structural characteristic patterns can be used for the RNA contact prediction by using machine learning. The red dots, blue dots, and green dotted lines represent nucleotides, residues, and predicted RNA contacts, respectively. The HIV-1 RNA (PDB code: 5L1Z, N chain) and HIV-1 Tat protein (PDB code: 5L1Z, D chain)[
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Huiwen Wang, Yunjie Zhao. Methods and applications of RNA contact prediction[J]. Chinese Physics B, 2020, 29(10):
Received: Apr. 30, 2020
Accepted: --
Published Online: Apr. 21, 2021
The Author Email: Zhao Yunjie (yjzhaowh@mail.ccnu.edu.cn)