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Driving discovery forward

Explore cutting-edge models optimized for drug discovery tasks. A model in Polaris encapsulates state-of-the-art algorithms, enabling seamless application to diverse benchmarks. Each model is designed for modularity, efficiency, and ease of use, empowering researchers to focus on groundbreaking discoveries.

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(6 models total)

plinder-org/protenix
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A trainable PyTorch reproduction of AlphaFold 3.
2025-04-17
plinder-org/alphafold3
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Built on the success of AlphaFold 2, the AlphaFold 3 model has a substantially updated diffusion-based architecture that is capable of predicting the joint structure of complexes including proteins, nucleic acids, small molecules, ions and modified residues.
2025-04-17
plinder-org/chai-1
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A new multi-modal foundation model for molecular structure prediction that performs at the state-of-the-art across a variety of tasks relevant to drug discovery. Chai-1 enables unified prediction of proteins, small molecules, DNA, RNA, covalent modifications, and more.
2025-04-17
plinder-org/boltz-1
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An open-source model designed to accurately model complex biomolecular interactions. Boltz-1 stands as the first fully commercially available open-source model to achieve AlphaFold3-level accuracy in predicting the 3D structure of biomolecular complexes.
2025-04-17
vidraft/aether-pharmaos-tox-ensemble
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VIDRAFT Aether PharmaOS structure-only ensemble for ADMET/toxicity. #1 on Polaris tdcommons/ames (ROC-AUC 0.877).
2026-06-19
vidraft/vidraft-pharmaos-admet-structure-only
VIDRAFT PharmaOS - structure-only ADMET prediction. Heterogeneous ensemble over molecular descriptors, fingerprints, and chemical language model embeddings, selected per endpoint. Designed for on-premise use: no external assay or imaging data required.
2026-08-10

Showing 1 to 6 of 6 models

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