All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 73–79 of 79 filtered models
Chai-1
2K403—Biomolecular structure prediction foundation model covering proteins, small molecules, DNA, RNA, and glycans in a single diffusion framework.
Protein49OpennessBioT5+
127—415Text-to-text biological language model spanning molecules, proteins, and text, adding IUPAC names and multi-task instruction tuning to BioT5.
Language modelSmall moleculeProtein85OpennessDistributional Graphormer
2.5K158—Deep learning framework predicting equilibrium distributions of molecular systems, enabling efficient ensemble generation and conformation sampling.
Protein46OpennessBioT5
127—191Encoder-decoder framework unifying molecules, proteins, and natural language with SELFIES notation for cross-modal drug discovery tasks.
Language modelSmall moleculeProtein74OpennessTULIP
1343—Unsupervised transformer language model for TCR-epitope binding prediction that generalizes to unseen epitopes without needing negative examples.
Protein60OpennessMoLFormer-XL
406595209.9KLarge-scale chemical language model trained on 1.1 billion SMILES strings using linear attention transformers for molecular property prediction.
Small molecule86Openness