All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–7 of 7 filtered models
PeptideCLM-2
8——SMILES-based chemical language models pretrained on 100M+ molecules to natively represent therapeutic peptide chemistry, including non-canonical residues.
Small moleculeProtein79OpennessSuiren-1.0
17——A family of SE(3)-equivariant molecular foundation models pretrained on ~70M DFT conformers, reaching state of the art on TDC ADMET and MoleHB property-prediction benchmarks.
Small molecule46OpennessA DeepSeek-7B-based multi-task large reasoning model that applies chain-of-thought reasoning and reinforcement learning across ~10 molecular science task families.
Small moleculeLanguage model21OpennessCMAP
———Multimodal antibody developability predictor that combines text and protein language models with in-context learning to predict many properties without retraining.
ProteinLanguage model4OpennessHELM-BERT
———The first peptide language model trained on HELM notation, a DeBERTa encoder for medium-sized and non-canonical peptide property prediction.
Small molecule80OpennessSeqProFT
24—LoRA fine-tuning framework for ESM-2 with multi-head attention pooling and contact map enhancement for sequence-only protein property prediction across diverse tasks.
Protein13OpennessMULAN
25107Multimodal protein language model extending ESM-2 and SaProt with a Structure Adapter that encodes backbone and side-chain torsion angles for improved function prediction.
Protein83Openness