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Modeling the structure-conditioned sequence landscape for large-scale protein design with TriFlow

2025-12-02

Abstract excerpt

Generative models have revolutionized computational protein design, and the design of high-quality sequences given backbone structure is a critical component for success. Current state-of-the-art design pipelines utilize sequence design methods with local structural context and autoregressive generation. To improve efficiency and quality of sequence design, we developed TriFlow, a model that combines a RoseTTAFold...

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Literature Corpus work
b5e3e87d-3d38-5a74-aac3-3003e93477c1
DOI
10.64898/2025.11.30.691458
Open publication

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Modeling the structure-conditioned sequence landscape for large-scale protein design with TriFlowDOI 10.64898/2025.11.30.691458
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