3dRNA is an automatic, fast, and high-accuracy RNA tertiary structure prediction method. It uses sequence and secondary structure information to build three dimensional structures of RNA from template segments. The accuracy of 3dRNA is high compared with other well-known RNA 3D structure prediction methods.
The main routines for 3dRNA is:
- Break the given secondary structure into segments;
- Find the template of these segments from library, which is built from crystal or NMR structures. If the template is missing, a distance-geometry-based loop building method can be used to build the segment ab initio.
- A random template for each segment will be selected to construct the final RNA 3D structure.
- Moreover, 3dRNA is able to optimize a given structure by Simulated Annealing Monte Carlo method, and this process can further improve the prediction.
Validation data for 3dRNA new lib(3dRNA-Lib1 and 3dRNA-Lib2)
The data used in our paper can be downloaded below, you can download them and validate them in our web server.