Non-coding RNA Structure Predicted

This is a U.S. news story, published by Phys Org, that relates primarily to Edan Patt et al news.

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RNA structures

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RNA structure

Phys Org

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Science

From sequence to structure: A fast track for RNA modeling

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89% Informative

Scientists from Lawrence Berkeley National Laboratory and Hebrew University of Jerusalem have developed a streamlined process that predicts the structure of an RNA molecule down to the atomic level.

Researchers in the U.S. and Europe are already using the process, but the team is still working to make the process more convenient.

When complete, researchers could perform the whole process remotely by using the SIBYLS automated beamline capabilities, allowing the flexibility for users to mail in samples. Then, they could access SCOPER online. Berkeley Lab will be a one -stop shop for visualizing the solution state of RNAs. More information: Edan Patt et al , Predicting RNA structure and dynamics with deep learning and solution scattering, Biophysical Journal ( 2024 ). DOI: 10.1016/j.bpj.2024.12.024 Journal information: Biophysical Journal Provided by Lawrence Berkeley National Laboratory .

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