RNAValidate: Open-Source Tool Audits AI-Predicted RNA Structures Against Experimental Data

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Developer Pedro Sordo Martinez has released RNAValidate, a CPU-only, open-source validator that checks AI-predicted 3D RNA structures against experimental evidence including FRET, cryo-EM, and SHAPE/DMS chemical probing data. The tool applies five validation rules to flag structural inconsistencies and assess hydrolysis risk before a design ever reaches physical synthesis, potentially saving thousands of dollars per design cycle. Unlike popular RNA structure predictors such as AlphaFold-3 and RoseTTAFold-RNA, RNAValidate serves as a predictor-agnostic auditing layer rather than a generative tool. The project achieves 96.84% test coverage across 35 passing tests and requires no external predictor calls, running entirely on CPU. Released under the AGPL-3.0 license, it is installable via pip and targets Python 3.11 and above.

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