Chai-1
A multi-modal foundation model for state-of-the-art molecular structure prediction of proteins, small molecules, DNA, RNA, and glycosylations.
What is Chai-1?
Chai-1 is a multi-modal foundation model for molecular structure prediction that performs at the state-of-the-art across various benchmarks. It enables unified prediction of proteins, small molecules, DNA, RNA, glycosylations, and other biomolecules, addressing the need for accurate and versatile computational tools in structural biology.
Computational biologists, bioinformaticians, and researchers in drug discovery who require high-accuracy molecular structure prediction for diverse biomolecules.
Developers choose Chai-1 for its state-of-the-art performance, multi-modal capabilities, and support for experimental restraints, offering a unified solution that outperforms specialized models across multiple benchmarks.
Overview
Chai-1, SOTA model for biomolecular structure prediction
Use Cases
Best For
- Predicting protein structures with high accuracy
- Modeling complexes involving small molecules and biomolecules
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