All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–21 of 21 filtered models
DrugGen 2
6—834Generative language model that designs drug-like SMILES conditioned on disease ontology and a target protein sequence for de novo drug discovery.
Small moleculeProtein51OpennessSingle-cell language model that prepends biomedical knowledge-graph tokens to cell sentences, grounding cell type annotation in pathway structure.
Single-cellLanguage model23OpennessRNAJog
2——Autoregressive generative model that uses reinforcement learning to optimize mRNA codon sequences for MFE, CAI, and GC content.
RNA9OpennessRNARL
———Reinforcement-learning generative framework for multi-objective RNA codon optimization that generalizes across six species and five RNA types.
RNA4OpennessGermRL
1—4Reinforcement learning framework that fine-tunes the ProGen2-OAS antibody language model with GRPO to cut germline bias in generated sequences.
Protein65OpennessPlasmidLM
2——Promptable DNA language model that generates multi-kilobase plasmid sequences from plain-language component specs, refined with verifiable rewards.
DNA & Gene49OpennessRVQ-Alpha
———Single-cell foundation model that tokenizes scRNA-seq into 10 tokens in a Qwen3-4B vocabulary for cell type annotation and perturbation prediction.
Single-cell4OpennessGPT-Rosalind
4.7K——OpenAI's frontier reasoning model for life-sciences research, tuned for multi-step workflows in protein engineering, genomics, and drug discovery.
Language model5OpennessmRNA-GPT
42—Autoregressive model for therapeutic mRNA design that jointly generates 5' UTR, CDS, and 3' UTR, pretrained on 30 million full-length natural mRNAs.
RNA10OpennessBioReason-Pro
1229—Multimodal reasoning LLM for protein function prediction, fusing protein language model embeddings to emit interpretable GO-term reasoning traces.
ProteinLanguage model58OpennessMolecular reasoning model built on DeepSeek-7B, using chain-of-thought and reinforcement learning for property prediction, generation, and reactions.
Small moleculeLanguage model21OpennessSynPROTAC
———Designs synthesizable PROTAC degraders from reaction templates and purchasable building blocks, with reinforcement learning tuning the generator.
Small molecule11OpennessFcGPT
———Autoregressive protein language model for antibody Fc domains, reinforcement-tuned to design variants with programmable Fc-receptor binding profiles.
Protein20OpennessrBio
14616—Reasoning language model post-trained on virtual cell simulations, answering questions about gene perturbations and their effects in natural language.
Language model60OpennessLingshu
3198144.7KGeneralist medical multimodal LLM for image understanding, visual question answering, and report generation across twelve-plus imaging modalities.
ImagingLanguage model70OpennessGMAI-VL-R1
1929—General medical vision-language model trained with reinforcement learning to reason step by step over medical images for diagnosis and visual QA.
ImagingLanguage model17OpennessMed-R1
128140—Medical vision-language model trained with reinforcement learning for generalizable reasoning across eight imaging modalities and five question types.
ImagingLanguage model45OpennessMedVLM-R1
321911.2K2B-parameter medical vision-language model that uses reinforcement learning to show interpretable reasoning for radiology visual question answering.
ImagingLanguage model83OpennessMINIM
158138—Text-to-image diffusion model that generates synthetic medical images across imaging modalities and organs to augment scarce clinical training data.
Imaging41Openness