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Post-Translational Modification Prediction quickly predicts glycosylation, isomerization, Asn deamidation, and Met photooxidation sites to identify manufacturing liabilities in proteins.
ProteinMPNN uses an AI/ML model to rapidly design sequences which fold into a specified protein backbone
Relax runs the Rosetta FastRelax protocol. This is useful for taking a structure not generated by Rosetta and “relaxing” it into the Rosetta score function preparatory to further modeling, or for generating a backbone ensemble for a further modeling experiment.
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