All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
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Biological Subjects
Showing 1–9 of 9 filtered models
RFdiffusion3
Institute for Protein Design
All-atom diffusion model for de novo protein design conditioned on ligands, nucleic acids, and arbitrary non-protein atoms, enabling enzyme and DNA binder design.
RFdiffusion2
Institute for Protein Design
Atom-level generative diffusion model for de novo enzyme design. Scaffolds arbitrary functional group geometries, solving all 41 benchmark active sites vs. 16/41 for prior methods.
Boltz-2
MIT CSAIL / Recursion Pharmaceuticals
Open model that jointly predicts biomolecular structure and small-molecule binding affinity, approaching FEP+ accuracy in seconds on a single GPU.
Protenix
ByteDance AI Lab
Open-source PyTorch reproduction of AlphaFold 3 (Apache 2.0) that matches or exceeds AF3 performance on protein-ligand, protein-protein, and protein-nucleic acid benchmarks.
Chai-1
Chai Discovery
Multi-modal foundation model for biomolecular structure prediction covering proteins, small molecules, DNA, RNA, and glycans in a unified diffusion framework.
HelixFold3
Baidu PaddleHelix
Open-source reproduction of AlphaFold 3 from Baidu PaddleHelix, predicting structures of proteins, nucleic acids, and small molecule ligands with comparable accuracy.
scDiffusion
Tsinghua University
Generative diffusion model for single-cell RNA-seq data synthesis, enabling controlled generation of specific cell types, rare cells, and developmental trajectories.
Chroma
Generate:Biomedicines
Generative diffusion model for programmable protein design that jointly samples novel structures and sequences, conditioned on symmetry, shape, and natural language.
RFdiffusion
Institute for Protein Design
Diffusion model for de novo protein design that generates novel backbone structures conditioned on binding targets, symmetry constraints, and functional motifs.