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Merge pull request #97 from AlexanderMath/patch-1
Add link to RFAA paper for convenience.
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@ -3,7 +3,7 @@ Code for RoseTTAFold All-Atom
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<p align="right">
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<img style="float: right" src="./img/RFAA.png" alt="alt text" width="600px" align="right"/>
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<img style="float: right" src="./img/RFAA.png" alt="alt text" width="600px" align="right"/>
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</p>
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</p>
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RoseTTAFold All-Atom is a biomolecular structure prediction neural network that can predict a broad range of biomolecular assemblies including proteins, nucleic acids, small molecules, covalent modifications and metals as outlined in the RFAA paper.
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RoseTTAFold All-Atom is a biomolecular structure prediction neural network that can predict a broad range of biomolecular assemblies including proteins, nucleic acids, small molecules, covalent modifications and metals as outlined in the <a href='https://www.science.org/doi/10.1126/science.adl2528'>RFAA paper</a>.
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RFAA is not accurate for all cases, but produces useful error estimates to allow users to identify accurate predictions. Below are the instructions for setting up and using the model.
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RFAA is not accurate for all cases, but produces useful error estimates to allow users to identify accurate predictions. Below are the instructions for setting up and using the model.
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