Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–11 of 11 filtered models
Phosphopeptide detectability prediction for mass spectrometry, rescoring DDA identifications and pruning DIA spectral libraries to cut search time.
DNA language model for SELEX aptamer libraries that embeds single-stranded oligonucleotides so enrichment and target specificity become measurable.
Retinal encoding models that predict ganglion cell responses to visual stimuli, with pretrained checkpoints across four species and two modalities.
Sequence-only TM-score prediction pairing frozen ProtT5 embeddings with a bidirectional GRU and multi-scale convolution for protein homology search.
Fragment-ion intensity prediction for cross-linked peptides, covering cleavable DSSO and DSBU chemistries alongside non-cleavable DSS and BS3.
Homology-aware protein language model on a recurrent xLSTM backbone, generating and scoring sequences from long contexts of unaligned homologs.
Chemical language model generating SMILES on a recurrent xLSTM backbone, designing within an unseen molecular domain from a few in-context examples.
Genomic language model on a recurrent xLSTM backbone, with reverse-complement equivariant blocks and single-nucleotide context up to 32,768 bases.
Protein interface prediction from sequence alone, swapping hand-crafted features for frozen ProtT5-XL embeddings that hold up on remote homologs.
Poly(A)-tail length change predicted from mRNA 3' UTR sequence in maturing oocytes, scoring how single-nucleotide variants disrupt tail lengthening.
Peptide retention time prediction for LC-MS/MS proteomics, from a genetic-algorithm search over convolutional and bidirectional GRU architectures.