FORGE audits residue-level information encoded in RNA tertiary structure geometry

FORGE accurately recovers 64.6% of native nucleotides from RNA tertiary structure geometry, surpassing simpler controls and revealing residue-level information.

• Why it matters: Understanding the biological information encoded in RNA structures is crucial for insights into RNA function and design, yet remains largely unquantified in coarse representations.
• What they did: The method converts seven-atom RNA geometry into 935 descriptors, assessing residue annotations across thousands of RNA chains, and compares predictions to experimental and AI-designed structures.
• The result: FORGE enables high-confidence residue identification, predicts base-pair states better than proxies, and offers a reproducible audit for RNA structural interpretation, aiding RNA research and design.