Member Site › Forums › PyRosetta › PyRosetta – General › Using pyrosetta to generate quaternary structure of protein
- This topic has 5 replies, 2 voices, and was last updated 4 years ago by Anonymous.
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November 20, 2020 at 1:35 am #3642AnonymousHello,Assume I have two proteins that have known tertiary structures. Is there a way that I can load these two proteins in pyrosetta, make some restraints between residues of these two proteins, and then use gradient descent to minimize the cost function in order to predict the interaction (based on constructed constraints) between these two proteins? If yes, could you please explain or provide me with some resources? I’m completely new to pyrosetta.
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November 20, 2020 at 2:34 am #15609Anonymous
Look into protein protein docking. I would use regular Rosetta for this on a compute cluster. https://www.rosettacommons.org/docs/latest/application_documentation/docking/docking-protocol
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November 20, 2020 at 5:08 am #15611Anonymous
Thank you very much. But, the link that you sent is not with gradient descent, I think the algorithm is Monte carlo, right?
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November 20, 2020 at 3:55 pm #15616Anonymous
If they are already at the binding site in the crystal structure, you can use the MinMover or FastRelax to miniminize, or minimize/pack side chains. Contraints are also available in what ever way you want to. Some of those are covered in the PyRosetta notebooks tutorials: https://github.com/RosettaCommons/PyRosetta.notebooks If they are monomers and you are trying to get the best orientation between them, you want docking with constraints.
https://www.rosettacommons.org/docs/latest/application_documentation/structure_prediction/relax
https://www.rosettacommons.org/docs/latest/rosetta_basics/file_types/constraint-file
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November 20, 2020 at 7:30 pm #15618Anonymous
Thank you very much. I will try to do it and then update it, but because I’m new it might take some time.
Thank you once again.
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December 5, 2020 at 6:07 am #15639Anonymous
Thank you very much for your help. I did it using MinMover.
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