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Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1705–1728 of 2336 models
Text-guided protein design that generates functional sequences from natural language prompts through a contrastive protein-text embedding space.
Transcription factor binding site prediction in regulatory DNA from accessibility, motifs and TF expression. One fixed model covers unseen factors.
Virtual multiplex immunofluorescence staining from H&E histopathology, imputing the expression and spatial localization of 50 protein biomarkers.
Antibody-antigen binding affinity prediction and sequence optimization, pre-trained on 7.5 million quantitative yeast-display affinity measurements.
CRISPR editing outcome prediction returning a probability over the near-full indel spectrum, with few-shot transfer to new cell types and to embryos.
Protein language models that split translated algal genomes into real genes and contaminants, classifying the dark proteome without homology search.
Audio-language foundation model for bioacoustics that answers natural-language questions about animal sounds, with zero-shot species classification.
De novo enzyme design conditioned on the reaction to be catalysed: substrate and product SMILES in, catalytic pocket, enzyme, and docked complex out.
Generative masked protein language model with an interpretable concept layer, letting designers set 718 biophysical and annotation concepts directly.
Prokaryotic promoter design and zero-shot promoter-strength ranking from a nucleotide language model pretrained on 17,806 microbial genomes.
Antibody language model that generates paired heavy and light variable domains, with a developability-conditioned variant for manufacturable designs.
Cell Painting image generation conditioned on a control well image and a compound's structure, covering cell lines and chemicals never trained on.
Controllable protein sequence generator adapted from Llama-3-8B with LoRA, prompted in plain English to emit enzymes from ten property classes.
Pocket-conditioned 3D ligand generator trained on its own predicted conformations, closing the train-inference gap that degrades diffusion sampling.
Compact protein sequence generator adapted from Phi-3-mini with LoRA, emitting enzymes for ten named property classes from a plain-English prompt.
Two-stage backbone generator that designs protein domains separately, then weaves them into one long chain with an SE(3) diffusion assembly module.
Intrinsic disorder prediction from protein sequence at proteome scale, distilling consensus disorder scores and AlphaFold2 pLDDT into one network.
Aligns structure, binding-pocket, text and molecular-dynamics encoders to a protein sequence anchor, giving frozen embeddings that transfer widely.
Protein-protein interaction prediction from a language model that encodes both sequences jointly, trained on human PPIs and applied across species.
De novo protein backbone design with geometric-algebra attention, sampling designable structures whose secondary structure matches natural proteins.
Cryo-EM foundation model pre-trained on 65 million particle images, enabling zero-shot classification, pose clustering, and quality assessment.
Homology-aware protein language model on a recurrent xLSTM backbone, generating and scoring sequences from long contexts of unaligned homologs.
Genomic language model on a recurrent xLSTM backbone, with reverse-complement equivariant blocks and single-nucleotide context up to 32,768 bases.
Chemical language model generating SMILES on a recurrent xLSTM backbone, designing within an unseen molecular domain from a few in-context examples.