ArticleNature biotechnology2026
Predicting the translation efficiency of messenger RNA in mammalian cells.
Article in Nature biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- Global translational reprogramming inVirulence · 2026Article
- Targeted Nanoparticle Delivery CRISPR/Cas9: overcoming biological barriers, enhancing stability, and improving therapeutic precision.International journal of pharmaceutics: X · 2026Review
- ContiTE: continuous manifold MoE for few-shot cross-tissue mRNA translation efficiency prediction.Briefings in bioinformatics · 2026Article
- Ribo-ITP enables identification of translons from limited input samples.Nature communications · 2026Article
- seq2ribo: structure-aware integration of machine learning and simulation to predict ribosome location profiles from RNA sequences.Bioinformatics (Oxford, England) · 2026Article
- Remodeling of mRNA by eIF4F in human translation initiation.bioRxiv : the preprint server for biology · 2026Article
- Nascent protein retention at polysomes reduces kinetic barriers to self-assembly.bioRxiv : the preprint server for biology · 2026Article
- Regulation of gene expression by alternative polyadenylation in health and disease.Nature reviews. Genetics · 2026Review
- Translation efficiency covariation identifies conserved coordination patterns across cell types.Nature biotechnology · 2026Article
- seq2ribo: Structure-aware integration of machine learning and simulation to predict ribosome location profiles from RNA sequences.bioRxiv : the preprint server for biology · 2026Article
- Disordered but Different: Functional and Evolutionary Divergence of Transcription Factor Intrinsically Disordered Regions.bioRxiv : the preprint server for biology · 2026Article
- Mechanometabolism instructs hematopoietic stem cell specification.The Journal of experimental medicine · 2026Article
- Polysomal Profiling Coupled to Allele-Specific Proteomics Reveals an EIF4H TranSNP Allele Possessing Higher mRNA Translation Potential.Molecular & cellular proteomics : MCP · 2026Article
- Translational buffering tunes gene expression in mice and humans.Genome biology · 2026Article
- Article
- Artificial intelligence for coordinating vaccine design, antiviral discovery, and real-world monitoring in the era of emerging and endemic viral threats.Frontiers in pharmacology · 2026Review
- Integrin Beta 4 Protein Expression Bimodally Predicts Sensitivity to CDK4/6 Inhibition and Resistance to Immunotherapy in Breast Cancer.The breast journal · 2026Article
- Integrated analysis of post-transcriptional regulations reveals insights into acute myeloid leukemia.Communications biology · 2025Article
- Robust Functionality and Regulation of Selectively Expressed RNA as AAV Vectors and In Vitro Transcribed Molecules.Pharmaceutics · 2025Article
- Engineering bone tissue with mRNA: from molecular design and delivery to clinical applications.Materials today (Kidlington, England) · 2025Article
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7 authors.
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Abstract
The mechanisms by which mRNA sequences specify translational control remain poorly understood in mammalian cells. Here we generate a transcriptome-wide atlas of translation efficiency (TE) measurements encompassing more than 140 human and mouse cell types from 3,819 ribosomal profiling datasets. We develop RiboNN, a state-of-the-art multitask deep convolutional neural network, and classic machine learning models to predict TEs in hundreds of cell types from sequence-encoded mRNA features. While most earlier models solely considered the 5' untranslated region (UTR) sequence, RiboNN integrates how the spatial positioning of low-level dinucleotide and trinucleotide features (that is, including codons) influences TE, capturing mechanistic principles such as how ribosomal processivity and tRNA abundance control translational output. RiboNN predicts the translational behavior of base-modified therapeutic RNA and explains evolutionary selection pressures in human 5' UTRs. Finally, it detects a common language governing mRNA regulatory control and highlights the interconnectedness of mRNA translation, stability and localization in mammalian organisms.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.