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Every biological foundation model, evaluated and ranked by the bio.rodeo team
Few-step generative model for de novo protein backbone design, extending MeanFlow to the SE(3) Lie-group geometry of residue frames.
Biosynthetic gene cluster discovery in plant genomes, transferring supervision from microbial BGCs by label-free adaptation over Pfam-domain tokens.
Preparation-free protein-ligand binding affinity prediction from a protein sequence and a ligand SMILES, using a cascaded mixture-of-experts fusion.
Mass spectrometry foundation model for untargeted metabolomics and lipidomics, naming and quantifying molecules with no reference library.
Residue-level prediction of ligand-binding and cryptic pockets in one model, reading frozen ESM-2 embeddings with no 3D structure at inference.
Non-coding variant prioritization for rice GWAS loci, ranking SNPs by predicted effects on 12 chromatin features via a fine-tuned DNABERT-2.
Molecular graph foundation model for ADMET and pharmacokinetic property prediction, pretrained by contrastive learning with graph external attention.
Protein complex structure prediction from amino acid sequence, deployed as a self-hosted SageMaker endpoint that returns mmCIF and ipTM confidence.
Intracortical speech brain-to-text decoder jointly pretrained across six BCI users, with over 50% lower relative word error than per-user models.
Spatial proteomics foundation model for multiplex immunofluorescence, with a 268-marker vocabulary and marker-conditioned 768-dimensional embeddings.
Cross-species single-cell ageing-state classifier that transfers mouse age labels to human HSC and CD8+ T cells, reaching 0.953 held-out AUROC.
Cross-context protein binder design model that generates one sequence binding multiple targets or conformational states of the same target.
Spatial proteomics foundation model trained on over 51 million single cells to learn panel-robust cell representations across platforms.
Single-cell perturbation prediction model trained only on synthetic priors, inferring drug targets, intervention strengths, and regulatory graphs.
Calcium imaging foundation model for neural population forecasting and behavior decoding, with frozen-backbone transfer across three species.
Single-cell cancer model scoring driver-associated expression programs by projecting scRNA-seq through axes frozen from genotype-matched bulk tumors.
VHH nanobody expression predictor needing only an amino-acid sequence, no structure. Leave-program-out ROC-AUC 0.81 on unseen antibody programs.
Protein language model adding long-range contact supervision to ESM2 via LoRA, improving all eight protein-level tasks with no structural input.
Molecular glue degrader design model that jointly generates the glue molecule and the E3 ligase-target ternary complex from unbound monomers.
Vision-language model that parses Markush structures from patents in a single stage, turning whole-image drawings into machine-readable CXSMILES.
Protein-protein interaction prediction with partner-specific interface localization from sequence. Screens one million pairs in under two hours.
Molecular ensemble foundation model for cyclic peptides, pooling per-conformer EGNN embeddings to predict membrane permeability from 3D structure.