All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Applications
Architectures
Learning Paradigms
Biological Subjects
Showing 1–6 of 6 filtered models
Evolla
Westlake University
An 80B-parameter multimodal protein-language model that decodes protein function through natural language dialogue, integrating sequence, structure, and evolutionary context.
Prot2Token
University of Missouri
A unified multi-task framework that converts diverse protein prediction tasks into autoregressive next-token prediction using pre-trained protein language model encoders.
gLM
Harvard University / MIT
Genomic language model trained on metagenomic scaffolds that learns protein co-regulation and function by modeling gene context and operon structure.
DeepGO
Bio-Ontology Research Group
Deep learning method for protein function prediction using Gene Ontology annotations, combining protein language models with neuro-symbolic reasoning over GO axioms.
SaProt
Westlake University
Protein language model combining amino acid and Foldseek 3Di structural tokens, outperforming ESM-2 across 10 downstream tasks including mutation effect prediction.
ESM-GearNet
Mila
A joint sequence-structure representation learning framework combining ESM-2 protein language model embeddings with GearNet geometric graph neural networks.