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Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–24 of 218 filtered models
RNA 3D structure evaluator that ranks candidate conformations without a reference. Sequence conditioning comes from a frozen RNA language model.
Coding potential classifier for assembled transcripts, joining pretrained RNA transformer embeddings with ORF and UTR descriptors in a random forest.
3' UTR foundation model pretrained on 7 million eukaryotic untranslated regions for mRNA stability prediction and de novo UTR sequence design.
Structure-based protein-RNA screening that reads position-wise nucleotide preferences off a single complex structure and ranks libraries in seconds.
Sequence-only protein-RNA interaction model that predicts binding affinity, maps residue- and nucleotide-level interfaces, and designs binding RNAs.
Conditional diffusion model for 5' UTR and UTR-CDS junction design, targeting ribosome load, folding energy and codon adaptation at sampling time.
Long-context RNA foundation model reading whole mRNA transcripts at single-nucleotide resolution, pretrained at a native 10,240 nt context.
Codon language model for mRNA prediction and coding sequence design, steering synonymous codon choice with a swappable host usage prior at inference.
RNA co-design model generating sequence and 3D backbone together, with SE(3) flow matching over coupled base-centered and sugar-centered frames.
Long-context co-folding model for protein, nucleic-acid and ligand assemblies, folding systems up to 16,384 residues on a single GPU.
Self-supervised transformer pretrained on cell-free RNA expression profiles, built as a shared substrate for downstream disease-detection models.
Designs RNA and DNA aptamers against protein targets by backpropagating binding and anti-binding objectives through a frozen all-atom predictor.
Biomolecular sequence-structure co-design that plans over frozen folding and inverse-folding models with Monte Carlo tree search, training nothing.
RNA–small-molecule interaction model that scores binding and localizes the pocket to individual nucleotides in one pass, from sequence and SMILES.
RNA inverse folding model conditioned on a context-free-grammar parse tree of the target secondary structure, with explicit GC-content control.
m6Am modification site predictor that fuses frozen RNA-FM embeddings, a one-hot BiLSTM, and a typed RNA structure graph by AUC-weighted voting.
RNA foundation model pretrained on 223 eCLIP experiments to predict base-resolution RBP binding, with frozen embeddings that transfer downstream.
miRNA-target interaction model fusing five gated evidence experts, whose frozen representation transfers to siRNA efficacy prediction.
Pan-cancer multi-omics foundation model that biases attention along central-dogma information flow, from DNA state through transcription to protein.
Antisense oligonucleotide activity prediction from sequence, position-specific chemistry, dose, and cell context. Spearman 0.5970 on ASO Atlas.
Single-cell foundation model for maize, pretrained on a 385,675-cell atlas with Gene Ontology priors for cell typing and cross-species transfer.
RNA and single-stranded DNA 3D structure prediction from sequence alone, with no MSA or language-model inputs and roughly 100x cheaper inference.