RNA-MolP

RNA-MoIP predicts RNA tertiary structures by integrating secondary structure information with recurrent local 3D motifs and generating models compatible with MC-Sym.

Key Features:

• Hierarchical Structure Modeling: Incorporates secondary structure constraints and recurrent local three-dimensional motifs from structural databases to assemble RNA tertiary models.
• Local 3D Motif Prediction and Refinement: Predicts sequence-based local 3D motifs and refines user-defined secondary structures to improve structural accuracy.
• MC-Sym Script Generation: Automatically produces scripts for MC-Sym to enable all-atom RNA 3D model construction.

Scientific Applications:

• RNA Structural Biology: Supports RNA folding analysis, functional site identification, and modeling of RNA interaction networks from sequence and secondary structure data.

Methodology:

RNA-MoIP reconciles user-provided or predicted secondary structures with known three-dimensional motif libraries, assembles compatible motif combinations into tertiary models, and exports MC-Sym-compatible scripts for all-atom structural reconstruction.