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Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1561–1584 of 2565 models
Binding free energy change prediction for antibody mutations, from a lightweight transformer that scores 10,000 variants in under five minutes.
Yeast gene regulatory network model with one pretrained subnetwork per gene, simulating target-gene response to transcription factor perturbation.
Tertiary structure-based RNA design model that fuses RNA backbone geometry with protein language model features of the bound partner protein.
Sparse autoencoders on the ESM-2 residual stream that expose interpretable protein features, with an open visualizer for what each latent detects.
Single-cell ATAC-seq foundation model that builds cell representations from non-zero chromatin peaks via peak-to-gene alignment.
Single-cell foundation model for Drosophila that generates hierarchical cell-type annotations on new scRNA-seq datasets without any fine-tuning.
End-to-end transformer reading fluorescence microscopy video to return single-molecule trajectories with Hurst exponents and diffusion coefficients.
Kinase-inhibitor binding affinity prediction fusing a contrastively pretrained molecular graph encoder with structure-informed kinase embeddings.
CRISPR-Cas9 repair outcome prediction from microhomology and sequence features, with transfer learning that adapts to a new cell line from 50 samples.
Spatial transcriptomics foundation model continually pretrained on 30 million profiles, with a protocol-aware mixture-of-experts decoder.
Graph transformer that scores the accuracy of predicted protein complex structures, ranking model pools using pairwise structural similarity graphs.
Functional MRI foundation model that learns brain dynamics as a stochastic optimal control problem, self-supervised on 41,072 UK Biobank subjects.
RNA backbone conformer assignment from low-resolution maps, using Bayesian posteriors over a learned library of 3D suite shape clusters.
Allosteric pocket prediction pairing a multitask fine-tuned protein language model with FPocket geometric features, reaching an 89.66% F1 score.
Protein question-answering model that fuses sequence and structure into an LLM prompt as virtual tokens, answering free-form questions about function.
Structure-based drug discovery transformer that handles protein-ligand docking and pocket-aware 3D molecule design in one pretrained model.
Perturbation representation model embedding CRISPR gene targets and small molecules in one space, transferring genetic screen models to drug response.
Predicts intrinsic and soft disorder per residue using LoRA adapters on frozen protein language models, released with the SoftDis database.
Enzyme Commission number prediction from protein sequence using four stacked transformer encoders, one per level of the EC hierarchy.
Multimodal medical imaging foundation model for zero-shot clinical diagnosis and report generation from chest X-ray and CT in English and Chinese.
Autoregressive transformer pretrained on 2,000 hours of intracortical spiking activity, decoding motor intent across subjects, species, and tasks.
4B-parameter generative genome foundation model trained on assembled environmental metagenomes for microbial representation and de novo DNA design.
Medical image segmentation model that replaces MedSAM's manual box prompts with a diffusion prompt encoder and labels each mask by class.