RNAsite
RNAsite predicts small molecule–RNA binding sites using structure-based and sequence profile–based models.
Key Features:
- Structure-Based Prediction (RNAsite_str): Utilizes experimentally derived RNA structural features to model small molecule–RNA interaction preferences and achieve high-accuracy binding site prediction when 3D structures are available.
- Sequence Profile-Based Prediction (RNAsite_seq): Applies sequence profile features to predict binding sites in the absence of structural data, enabling structure-independent analysis.
Scientific Applications:
- RNA-Targeted Drug Discovery: Identifies potential small molecule binding sites within RNA molecules to support therapeutic target selection and validation.
Methodology:
RNAsite integrates structure-derived interaction features and sequence profile information into complementary predictive models, combining outputs to improve binding site prediction accuracy across datasets with experimental or modeled RNA structures.
Topics
Details
- Tool Type:
- web application
- Added:
- 3/19/2021
- Last Updated:
- 11/24/2024
Operations
Data Inputs & Outputs
Binding site prediction
Inputs
Outputs
Publications
Su H, Peng Z, Yang J. Recognition of small molecule–RNA binding sites using RNA sequence and structure. Bioinformatics. 2021;37(1):36-42. doi:10.1093/bioinformatics/btaa1092. PMID:33416863. PMCID:PMC8034527.
PMID: 33416863
PMCID: PMC8034527
Funding: - National Natural Science Foundation of China: 11871290, 61873185
- Fok Ying-Tong Education Foundation: 161003