3D structures of biomolecules – “dictionaries” make fluorescence-based data accessible

3D structures of biomolecules – “dictionaries” make fluorescence-based data accessible

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21.10.2024 15:28

3D structures of biomolecules – “dictionaries” make fluorescence-based data accessible

Physical Chemistry: Publication in Nature Methods

A research team from Germany and the USA led by Heinrich Heine University Düsseldorf (HHU) has developed a data description that can provide results from fluorescence measurements for structural and dynamic modelling of large biomolecules. The authors explain in the scientific journal Nature Methods that, for the first time, other researchers can access fluorescence-based integrative structural models and their dynamics through databases. This provides experiment-based training data for the next generation of AI tools for dynamic structure modelling.

Original publication:

Christian A. Hanke, John D. Westbrook, Benjamin M. Webb, Thomas-O. Peulen, Catherine L. Lawson, Andrej Sali, Helen M. Berman, Claus A. M. Seidel & Brinda Vallat. Making fluorescence-based integrative structures and associated kinetic information accessible. Nature Methods (2024).

DOI: 10.1038/s41592-024-02428-x

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The data from fluorescence experiments are processed with the help of “dictionaries” and made availa …

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The data from fluorescence experiments are processed with the help of “dictionaries” and made available together with integrative structure models in a database.

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