Intrinsically disordered regions of proteins are prevalent across the kingdoms of life; however, biophysical characterization is expensive, requiring specialized expertise and equipment and time-consuming sample preparation. By combining simulations and deep learning, we have developed a method to predict their average ensemble properties directly from sequence.
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This is a summary of: Lotthammer, J. M. et al. Direct prediction of intrinsically disordered protein conformational properties from sequences. Nat. Methods https://doi.org/10.1038/s41592-023-02159-5 (2024).
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An easy-to-use computational tool for predicting 3D properties of disordered proteins. Nat Methods 21, 385–386 (2024). https://doi.org/10.1038/s41592-023-02160-y
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DOI: https://doi.org/10.1038/s41592-023-02160-y
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