All Competitors

Cross-species RBP-RNA binding site predictor that turns RNA-binding protein conservation into label smoothing, reaching 0.85 AUC from human to mouse.

Structure-free RNA-small molecule binder discovery model that predicts ligands and their binding sites from RNA sequence using an RNA language model.

Splice donor and acceptor site prediction from raw DNA, scoring every position of a 20 kb window with an ensemble of dilated residual CNNs.

Isoform-resolved variant effect prediction from DNA sequence, using graph attention over transcript splice structures across 30 human tissues.

RNA secondary structure prediction that fuses base-pair priors from four orthogonal folding tools, reaching 0.709 F1 on cross-family bpRNA-new.

RNA-small molecule binding affinity prediction from RNA sequence and compound SMILES, pairing a 56M-parameter RNA language model with ChemBERTa-2.

RNA small-molecule binding site prediction from sequence alone, pairing frozen RiNALMo embeddings with a lightweight MLP classifier.

RNA language model pretrained on 30M non-coding RNA sequences that predicts secondary structure, contacts, and splice sites without alignments.

Codon language model trained with synonymous-codon-constrained masking, so its embeddings encode nucleotide-level signal, not amino acid identity.

RNA language model transfer-trained from ESM-2 via a pseudo-protein alphabet mapping, outperforming 12 RNA language models in zero-shot evaluation.

RNA foundation model pretrained jointly on sequences and secondary structures for structure prediction, homology and splice site classification.

Coaxial-stacking prediction for RNA multi-way junctions from sequence and secondary structure, at ~0.87 mean accuracy across 2- to 7-way topologies.

Quality assessment model for predicted RNA 3D structures, estimating local and global lDDT from predicted contact and distance-deviation maps.

Splicing variant effect prediction across 49 human tissues and 15 developmental stages, from four weeks post conception to adulthood.

Species-conditioned codon language model that jointly reads 5'UTRs, coding sequence, and RNA secondary structure to design native-like genes.

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.