| Current course |
| Existing resources |
RBind
RBind:computational network method to predict RNA binding sites.
HKPocket
HKPocket:Human kinase pocket database for drug design.
RPocket
RPocket:RNA pocket database for drug design.
RPpocket
RPpocket:RNA pocket database for RNA-protein interaction and drug design.
RNet
RNet: A network strategy to predict RNA binding preferences
DDPScore
DDPScore：Evaluation of DNA–protein complex structures using the deep learning method
RPflex
RPflex: A Coarse-Grained Network Model for RNA Pocket Flexibility Study
ZHmolReSTasite
ZHmolReSTasite:RNA surface topography strategy to predict RNA-small molecule binding nucleotides
ZHMol-RLinter
ZHMol-RLinter: A Machine Learning Method for RNA–Small Molecule Binding Preference Prediction
| Other related resources |
Molecular Structure Resources
Sequence Alignment
- MAFFT (≤ 500 sequences)
- MUSCLE (≤ 500 sequences)
- T-Coffee (≤ 500 sequences)
- Kalign (≤ 2000 sequences)
- Clustal Omega (≤ 4000 sequences)
Molecular Modeling