SPOT-RNA-1D: RNA Backbone Torsion and Pseudotorsion Angle Prediction using Dilated Convolutional Neural Networks

Our resources are limited. If you wish to run several batches per day please make use of the downloadable package or contact the administrator directly.

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E-mail address (optional):
Target (optional):
Input your RNA Sequences: Maximum sequence length 5,000 nts in fasta format

Note:

To run SPOT-RNA-1D locally, please use standalone version of SPOT-RNA-1D mentioned below.

Standalone Program to Run Locally:

SPOT-RNA-1D-local

Datasets:

Training (TR), validation (VL), and test (TS1 and TS2) sets are available at github.

Reference:

Jaswinder Singh, Kuldip Paliwal, Jaspreet Singh, Yaoqi Zhou, RNA Backbone Torsion and Pseudotorsion Angle Prediction using Dilated Convolutional Neural Networks, Journal of Chemical Information and Modeling, In-press.