mRNABench (mRNA Property Prediction Benchmark)
Comprehensive benchmark for mRNA property prediction evaluating nucleotide foundation models. 10-11 curated datasets with 59-79 prediction tasks covering stability, translational efficiency, localization, and post-transcriptional regulation. 259,000 experiments.
Composite
86.3
Experimental validation
Retrospective
Stages
Hit IDLead ID / ADMET
Modalities
rnanucleic_acid
Task types
property_predictionfoundation_model_evaluation
Size
-11_datasets: 10
-79_tasks: 59
experiments: 259,000
-79_tasks: 59
experiments: 259,000
License
MIT
First release
2025-07
Last updated
2025-07
Official site
→ project page
Leaderboard
→ leaderboard
Dataset
Code / GitHub
HuggingFace
→ HF
Paper
mRNABench: A Comprehensive Benchmark for mRNA Property Prediction · · 2025 · paper · doi:10.1101/2025.07.05.662870 · 8 citations
Flags
rna_therapeuticsfoundation_model_eval
Experts
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Groups
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Hosted by
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Related benchmarks
Rubric (7-criterion)
rigor
5
coverage
5
maintenance
3
adoption
3
quality
4
accessibility
5
industry_relevance
5
Notes
Morris Lab (University of Toronto). First standardized benchmark for mRNA biology predictions. New Mamba-based model achieves SOTA with fewer parameters. Python package for easy extensibility. Critical for mRNA vaccine and therapy design.