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Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1225–1248 of 2565 models
Protein structure retrieval model aligning 3D structures with functional text via contrastive learning, for zero-shot search of PDB and cryo-EM maps.
Compact 1.1M-parameter DNA language model distilled from Nucleotide Transformer v2, outperforming its 500M teacher on 11 of 18 benchmark tasks.
Agent-based pathology model that navigates whole-slide images by zooming and panning like a pathologist, scoring 88.6% on the PathMMU-HR2 benchmark.
Reasoning LLM for single-cell type annotation, mapping per-cell expression to labels with marker-by-marker chains of thought on one GPU.
Text-to-protein design retrieving natural protein fragments as a dynamic vocabulary, matching larger baselines on under 0.04% of their training data.
Protein-ligand binding affinity model that tokenizes quantum electron-cloud density into discrete codes, plus a distilled cloud-free variant.
Structure-constrained molecular generation using reinforcement learning over reaction templates, trained without any external property metric.
Sequence-only predictor of protein stability change on point mutation, scoring both ddG and melting temperature shift without any input structure.
Protein conformation and dynamics generation from MD data, sampling trajectories, independent ensembles, and interpolations between two known states.
Self-supervised transformer pretrained on millions of tandem mass spectra, giving embeddings for spectral annotation and fingerprint prediction.
Distribution-level representation learning that embeds whole cell populations, perturbation responses, and sequence sets, not individual data points.
Protein structure prediction and peptide binder design model covering the 20 canonical amino acids plus 29 noncanonical residues.
RNA-binding protein predictor trained on eCLIP data that scores binding intensity along transcripts and recovers motifs via integrated gradients.
EEG foundation model whose codebook tokenizer encodes Fourier phase on the unit circle, gaining six points of balanced accuracy over LaBraM.
Bidirectional DNA foundation model with a Mamba-attention-mixture-of-experts design, reading 1 million base pairs at single-nucleotide resolution.
Contrastive k-mer embedding model for sequencing reads whose latent space encodes genomic position, matching BWA-aln accuracy on ancient DNA mapping.
Cytogenetics foundation model detecting numerical and structural chromosome abnormalities from metaphase images, pretrained on 84,000 specimens.
Transcriptomic perturbation prediction across unseen single and double gene knockdowns and unseen cell lines, driven by gene-gene knowledge graphs.
Molecular dynamics emulator generating time-coarsened trajectories for small molecules, peptides, and proteins from one shared atomic representation.
Single-cell chromatin accessibility foundation model with genome-aware tokenization, pretrained on 1.97 million scATAC-seq cells across 30 tissues.