Developed by Kihara Lab
This database provides a comprehensive collection of RNA 3D structures predicted by NuFold, a deep learning-based model. It offers detailed structural information, including pLDDT confidence scores and secondary structure analysis, to aid researchers in understanding RNA function and biology.
A typical results page.
Find RNA entries via URS ID, Rfam Family, Sequence Length, MSA Depth, etc.
Locate taxonomy/family and NuFold input information.
See predicted tertiary RNA structures in 3D, powered by Mol*.
Assess the structure confidence using pLDDT and F1 scoring.
Use coloring options to gauge secondary/tertiary structural success visually.