ArticleBMC bioinformatics2021
RPocket: an intuitive database of RNA pocket topology information with RNA-ligand data resources.
Article in BMC bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Article
- Eigenvalue Ratios Reveal Shared Binding Pocket Shapes in RNA and Protein Structures.Computational and structural biotechnology journal · 2026Article
- Advances in Methods for Accurate Prediction of RNA-Small Molecule Binding Sites: From Isolated to AI-Integrated Strategies.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Covalent Probes Reveal Small-Molecule Binding Pockets in Structured RNA and Enable Bioactive Compound Design.Journal of the American Chemical Society · 2025Article
- Ligand-binding pockets in RNA and where to find them.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Advances and Mechanisms of RNA-Ligand Interaction Predictions.Life (Basel, Switzerland) · 2025Review
- SMTRI: A deep learning-based web service for predicting small molecules that target miRNA-mRNA interactions.Molecular therapy. Nucleic acids · 2024Article
- Contrastive pre-training and 3D convolution neural network for RNA and small molecule binding affinity prediction.Bioinformatics (Oxford, England) · 2024Article
- RPflex: A Coarse-Grained Network Model for RNA Pocket Flexibility Study.International journal of molecular sciences · 2023Article
- Article
- RPpocket: An RNA-Protein Intuitive Database with RNA Pocket Topology Resources.International journal of molecular sciences · 2022Article
- Brief considerations on targeting RNA with small molecules.Faculty reviews · 2022Review
- The TAR binding dynamics and its implication in Tat degradation mechanism.Biophysical journal · 2021Article
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Authors and funding
4 authors.
Funding
Abstract
backgroundRNA regulates a variety of biological functions by interacting with other molecules. The ligand often binds in the RNA pocket to trigger structural changes or functions. Thus, it is essential to explore and visualize the RNA pocket to elucidate the structural and recognition mechanism for the RNA-ligand complex formation.
resultsIn this work, we developed one user-friendly bioinformatics tool, RPocket. This database provides geometrical size, centroid, shape, secondary structure element for RNA pocket, RNA-ligand interaction information, and functional sites. We extracted 240 RNA pockets from 94 non-redundant RNA-ligand complex structures. We developed RPDescriptor to calculate the pocket geometrical property quantitatively. The geometrical information was then subjected to RNA-ligand binding analysis by incorporating the sequence, secondary structure, and geometrical combinations. This new approach takes advantage of both the atom-level precision of the structure and the nucleotide-level tertiary interactions. The results show that the higher-level topological pattern indeed improves the tertiary structure prediction. We also proposed a potential mechanism for RNA-ligand complex formation. The electrostatic interactions are responsible for long-range recognition, while the Van der Waals and hydrophobic contacts for short-range binding and optimization. These interaction pairs can be considered as distance constraints to guide complex structural modeling and drug design.
conclusionRPocket database would facilitate RNA-ligand engineering to regulate the complex formation for biological or medical applications. RPocket is available at http://zhaoserver.com.cn/RPocket/RPocket.html .
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Registered trials
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