Model

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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(4 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

Showing 1 to 4 of 4 models

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