# RNAValidate: CPU-only validator for AI-predicted 3D RNA structures > Source: > Published: 2026-07-12 23:06:38+00:00 A predictor-agnostic linter that checks AI-predicted 3D RNA structures against experimental data (FRET, cryo-EM, SHAPE/DMS probing, designability) — and flags the ones that will hydrolyze before you can measure them. Predictors and designers (AlphaFold-3, RiboSphere, RoseTTAFold-RNA) are plentiful; an open-source, reproducible layer that *audits* a predicted 3D RNA structure against experimental evidence is not. Validating before synthesis saves thousands of USD per design. RNAValidate reads the PDB + JSON you produce and applies five rules: **F1 is a DERIVED rule** (risk R5), proposed by the author and not extracted from a single paper. It needs experimental validation against measured degradation (tube half-life) before promotion to a hard rule. Thresholds (FRET RMSD, cryo-EM CC) are documented chemistry, not tuned to the fixtures. Fixtures use a minimal synthetic hairpin PDB plus example FRET (external-validity, not circular). ``` pip install -e . rnvalidate check --in structure.pdb --exp exp.json --format json ``` *License: AGPL-3.0-or-later (c) 2026 Pedro Sordo Martinez — amurlaniakea@gmail.com*