All Competitors

RNA language model built on the xLSTM recurrent architecture instead of a transformer backbone, pretrained on RNAcentral with 33.7M parameters.

Scoring function for protein, nucleic acid, and small-molecule complexes that predicts binding affinity, ranks docked poses, and screens ligands.

RNA-protein complex refinement via diffusion, repositioning the protein against the RNA to improve AlphaFold 3 and ProRNA3D-single backbones.

Tissue-specific RNA splicing prediction from pre-mRNA sequence, scoring how variants shift splice-site usage across 18 human tissues.

Backmapping model that rebuilds all-atom protein and nucleic acid structures from coarse-grained beads and inpaints unresolved residues.

Generative codon language model for mRNA design, trained on 338,417 coding sequences with inference-time masking that preserves the encoded protein.

Multimodal transformer predicting alternative splicing outcomes across C. elegans neuron subtypes, reaching Spearman ρ = 0.88 on held-out exons.

Bimodal masked language model that jointly encodes bulk RNA-seq expression and DNA methylation into patient-level embeddings for cancer genomics.

RNA inverse folding with an attention-free RWKV language model that designs sequences for a target secondary structure with tunable G-C content.

RNA-protein contact prediction from sequence, built on ERNIE-RNA and ESM-2 embeddings. Reaches 0.77 auROC where AlphaFold 3 reaches 0.61.

mRNA optimization model that raises codon adaptation, tRNA adaptation, and folding stability at once while preserving the encoded protein sequence.

RNA conformational ensemble generation with a diffusion model, sampling excited states and folding pathways from one structure without MSA input.

De novo protein binder design that recasts structure-predictor confidence as an energy function, replacing ipTM as the hallucination objective.

RNA-binding protein predictor trained on eCLIP data that scores binding intensity along transcripts and recovers motifs via integrated gradients.

Encoder-decoder codon language model that reverse-translates a protein into species-specific coding sequences for synthetic mRNA design.

Generative diffusion model that samples biomolecular conformational ensembles for proteins, RNA, and ligands in hours instead of millisecond-scale MD.

RNA secondary structure prediction that turns phylogenetic compensatory-substitution evidence into attention priors over frozen RiNALMo embeddings.

RNA-seq splice junction detection pairing transcriptome-guided alignment with a fine-tuned DNABERT scorer, reaching a mean F1 of 0.971.

Codon-resolution language models trained on 130 million coding sequences from 20,000 species, learning codon rules for translation and mRNA stability.

Zero-shot RNA design pipeline that ranks variants by genomic language model likelihood combined with inverse-folding structural compatibility.

RNA 3D structure reconstruction from cryo-EM density maps, using a 3D U-Net that predicts 18 atom types and assigns sequence by global alignment.

C/D box snoRNA gene predictor for any eukaryote genome, built on DNABERT and able to separate expressed snoRNAs from their pseudogenes.

DNA and RNA language model with a data-driven 4,096-token unigram vocabulary, matching larger genomic foundation models at 89.2M parameters.