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correct language for encoding
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_research/encoding.md

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name: Define standards for sharing dynamic models
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index: 5
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image: /assets/images/modeling.jpeg
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image: /assets/images/encoding.jpeg
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image_alt: Gen AI image of protein motion
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Traditional structural data files contain atomic coordinates and so-called B-factors, but there is no agreed-upon format for models of dynamics. We will establish effective standards for sharing these models.
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Correctly representing and encoding the outputs of structural modeling is essential for translating them into biological insight. To enable AI co-driven scientific discovery, these representations must be both machine-readable and human-interpretable to leverage the full richness of existing and future experimental data and provide interpretable feedback to guide human insight. encoding individual models and building infrastructure to enable the linkage between multiple data sources for optimal downstream use and machine learning applications. We are developing infrastructure to improve model encoding and data architecture, enabling others to learn from the rich experimental data collected in this project.

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