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Merge pull request #97 from AlexanderMath/patch-1

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Add link to RFAA paper for convenience.
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Rohith Krishna 2024-04-30 08:25:52 -07:00 committed by GitHub
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@ -3,7 +3,7 @@ Code for RoseTTAFold All-Atom
<p align="right"> <p align="right">
<img style="float: right" src="./img/RFAA.png" alt="alt text" width="600px" align="right"/> <img style="float: right" src="./img/RFAA.png" alt="alt text" width="600px" align="right"/>
</p> </p>
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. 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>.
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. 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.