HELM: Hierarchical Encoding for mRNA Language Modeling
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Abstract (arXiv)
Messenger RNA (mRNA) plays a crucial role in protein synthesis, with its codon structure directly impacting biological properties. While Language Models (LMs) have shown promise in analyzing biological sequences, existing approaches fail to account for the hierarchical nature of mRNA's codon structure. We introduce Hierarchical Encoding for mRNA Language Modeling (HELM), a novel pre-training strategy that incorporates codon-level hierarchical structure into language model training. HELM modulates the loss function based on codon synonymity, aligning the model's learning process with the biological reality of mRNA sequences. We evaluate HELM on diverse mRNA datasets and tasks, demonstrating that HELM outperforms standard language model pre-training as well as existing foundation model baselines on seven diverse downstream property prediction tasks and an antibody region annotation tasks on average by around 8%. Additionally, HELM enhances the generative capabilities of language model, producing diverse mRNA sequences that better align with the underlying true data distribution compared to non-hierarchical baselines.
Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). Builds on 24 of its 79 references that are in the map. First posted on arXiv 16 Oct 2024.
Builds on
24 of 79 references.
References · 24
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12 more
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Built on by
Citing papers per year: 2024: 1; 2025: 7; 2026: 2.
10 papers.
- 2024HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classificationcited by 13
- 2025DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomoleculescited by 5
- 2025Geometric Hyena Networks for Large-scale Equivariant Learningcited by 4
- 2025BioBO: Biology-informed Bayesian Optimization for Perturbation Designcited by 2
- 2025Equi-mRNA: Protein Translation Equivariant Encoding for mRNA Language Modelscited by 1
- 2026mRNAutilus: Multi-Objective-Guided Discrete Generation of mRNA with Optimized Therapeutic Propertiescited by 1
- 2025Multimodal Modeling of CRISPR-Cas12 Activity Using Foundation Models and Chromatin Accessibility Datacited by 0
- 2025Generative Foundation Model for Structured and Unstructured Electronic Health Recordscited by 0
- 2025HyperHELM: Hyperbolic Hierarchy Encoding for mRNA Language Modelingcited by 0
- 2026Predictor-Guided Latent Space Codon Optimization for Maximizing Protein Expressioncited by 0
- 2026Predictor-Guided Latent Space Codon Optimization for Maximizing Protein Expression2 Oct 2026
- 2026mRNAutilus: Multi-Objective-Guided Discrete Generation of mRNA with Optimized Therapeutic Properties29 May 2026
- 2025HyperHELM: Hyperbolic Hierarchy Encoding for mRNA Language Modeling29 Sep 2025
- 2025BioBO: Biology-informed Bayesian Optimization for Perturbation Design24 Sep 2025
- 2025Generative Foundation Model for Structured and Unstructured Electronic Health Records22 Aug 2025
- 2025Equi-mRNA: Protein Translation Equivariant Encoding for mRNA Language Models20 Aug 2025
- 2025Multimodal Modeling of CRISPR-Cas12 Activity Using Foundation Models and Chromatin Accessibility Data12 Jun 2025
- 2025DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules10 Jun 2025
- 2025Geometric Hyena Networks for Large-scale Equivariant Learning28 May 2025
- 2024HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification12 Nov 2024