Vfold3D: predicting RNA 3D structure

To avoid long computational time, we restrict the sequence length <= 200 nt.

(1) Enter sequence(A,a,U,u,G,g,C,c):

(2) Input 2D structure, without cross-linked base pairs, in dot-bracket format:

(3) Job name (alphanumeric characters only):

(4) Your email address (optional, you will receive the results by email, if provided):

Please cite the following references for Vfold3D:
[1] Zhao, CH, Xu, XJ, Chen SJ. (2017) Predicting RNA structure with Vfold. Methods in Molecular Biology, 1654: 3-15. doi: 10.1007/978-1-4939-7231-9_1.
[2] Xu, XJ., Chen, SJ. (2016) A method to predict the structure and stability of RNA/RNA complexes. Methods Mol Biol. 1490:63-72. doi: 10.1007/978-1-4939-6433-8_5.
[3] Xu, XJ., Chen, SJ. (2015) Modeling the structure of RNA scaffold. Methods Mol Biol. 1316: 1-11. doi: 10.1007/978-1-4939-2730-2_1.
[4] Xu, XJ., Zhao, PN., Chen, SJ. (2014) Vfold: a web server for RNA structure and folding thermodynamics prediction. PLoS ONE doi: 10.1371/journal.pone.0107504.
[5] Cao, S. and Chen, S.-J. (2011) Physics-based de novo prediction of RNA 3D structures. J. Phys. Chem. B., 115, 4216-4226.

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