Update README.md

This commit is contained in:
AlexanderMath 2024-04-28 12:20:51 +01:00 committed by GitHub
parent b461e12016
commit d46e8dbd00
No known key found for this signature in database
GPG key ID: B5690EEEBB952194

View file

@ -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.