| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6487180 | Computational Biology and Chemistry | 2013 | 6 Pages |
Abstract
- We present eleven novel features for identifying A-minors in 3D RNA molecules.
- These features include inter-atomic distances, bond angle and bond types.
- The features are highly effective when used with machine learning algorithms.
- This approach will be useful in RNA tertiary motif analysis and applications.
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Bioengineering
Authors
Palak Sheth, Miguel Cervantes-Cervantes, Akhila Nagula, Christian Laing, Jason T.L. Wang,