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We are thrilled to announce that we have been awarded a [Small Development Grant][SDG] by NumFocus to enhance scientific molecular rendering with [MolecularNodes][MN] in 2025. This initiative is a collaborative effort between [Yuxuan Zhuang][Yuxuan] and [Brady Johnston][Brady].
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MolecularNodes has sparked great enthusiasm among scientists for its ability to produce stunning and insightful molecular visualizations. However, the current version has limitations when it comes to scripting and automating the rendering process. Our project aims to overcome these challenges by developing a robust API that enables users to render molecular structures with simple, customizable code.
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MolecularNodes facilitates the seamless import and visualization of structural biology data within [Blender][blender], leveraging Blender’s industry-leading visualization and animation tools. MolecularNodes has garnered widespread excitement among scientists for its ability to create stunning and informative molecular visualizations. However, the current version has limitations in scripting and automating the rendering process. Our project aims to address these challenges by developing a robust API, enabling users to render molecular structures with straightforward and highly customizable code.
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2.**Interactive Jupyter Integration**: A Jupyter widget will be built to integrate with MDAnalysis, providing an interactive environment for controlling and rendering molecular objects directly within notebooks.
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3.**Advanced Visualization Tools**: We will develop tools for visualizing basic geometric features and complex analysis results, seamlessly integrating outputs from MDAnalysis.
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3.**Advanced Visualization Tools**: We will develop tools for visualizing basic geometric features and even complex analysis results from MDAnalysis.
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### Be Part of the Process!
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