The SHAPER model provides user-friendly estimates of SHAPE reactivity from RNA 3D structures. The SHAPER model is an updated version of 3DSSR model, which takes RNA sequence-dependent bias into consideration. By analyzing structural features from an 3D RNA structure, such as 2D base-pairs, solvent accessibility of 2'-OH sites, stacking nucleotides, ribose sugar conformations, etc., the model can combine these key factors to predict the SHAPE reactivity for each nucleotide. By allowing users to exclude SHAPE-incompatible structures, results from this tool can be used to guide 3D structure prediction. If users also provide their SHAPE data, we will compute the correlation between the SHAPER-predicted profile and the user-provided experimental SHAPE reactivity.

Because the model was not parameterized using multistranded structures, broken structures, or structures with missing atoms, we recommend submitting complete, single-stranded structures to the server. Additionally, no structures with more than 174 nucleotides were used to parameterize the SHAPER model, so results from large RNA may not be valid.

Submit a new job:

3D RNA file* (?Input 3D RNA structure file should be in PDB format, < 10 MB.
And should only contain RNA structure.
If PDB file contain multiple models,
predicted SHAPE profile for each model will be provided.
The residue number will be renumbered.

SHAPE file (optional, ? SHAPE profile provided by user, < 10 MB.
SHAPE reactivities should be in single column.

MASK file (optional, ? MASK file provided by user, < 10 MB.
Mask values should be in single column,
with 0 and 1 for unmasked and masked residue, respectively.
Default mask values are 0s for all residues.

Your email address (optional, ? You will receive the results by email, if provided.):


References for SHAPER:
SHAPER: Used to predict SHAPE reactivity from 3D structure with sequence-dependent bias.
[1] Zhou Y, Li J, Hurst T, Chen S-J. (2021) SHAPER: A web server for fast and accurate SHAPE reactivity prediction. Frontiers in Molecular Biosciences, p.715.
[2] Hurst T, Chen S-J. (2021) Sieving RNA 3D structures with SHAPE and Evaluating Mechanisms Driving Sequence-Dependent Reactivity Bias. The Journal of Physical Chemistry B, 125(4), 1156-1166.
3DSSR: Used to predict SHAPE reactivity from 3D structure.
[3] Hurst T, Xu X, Zhao P, Chen S-J. (2018) Quantitative Understanding of SHAPE Mechanism from RNA Structure and Dynamics Analysis. The Journal of Physical Chemistry B, 122(18), 4771-4783.
DSSR: Used to extract 2D structure.
[4] Lu X-J, Bussemaker H J, Olson W K. (2015) DSSR: an integrated software tool for dissecting the spatial structure of RNA. Nucleic Acids Research, 43(21):e142.
RNAView: Used to identify base pair types.
[5] Yang H, Jossinet F, Leontis N, Chen L, Westbrook J, Berman H M, Westhof E. (2003) Tools for the automatic identification and classification of RNA base pairs. Nucleic Acids Research, 31(13):3450-3460.
VMD: Used to calculate solvent accessibility.
[6] Humphrey W, Dalke A, Schulten K. (1996) VMD: visual molecular dynamics, Journal of Molecular Graphics, 14(1):33-38.
Copyright © 2019 by University of Missouri