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I'm trying to seperate a protein-protein complex, apply residue labels based on core/surface/boundary layer definitions, and then reset the protein-protein complex for design. My first thought was to use the RigidBodyTransMover, however, I cannot perform the reverse rigid body translation to recombine the protein-protein complex; the ouput file has the proteins out of contact. I'm unfamiliar with the coordinates, but am noticing that the end coordinate differs after back transformation:
My name is Jong hui Hong
I'd like to rescore docking result structure made by Rosetta-script application with InterfaceAnalyzer
But InterfaceAnalyzer application binary couldn't be found in binary folder ( rosetta-source/main/source/bin) .
Is there any other folder for that application ?
It seems that InterfaceAnalyzer source is there in Rosetta source
Can there be something wrong with my rosetta installation?
Any kind of suggestion or answer would be appreciated
I need to know about the method that is used for both high and low resolution docking. I know it is markov chain monte carlo, but I need to know in more details. Could you please provide me with a paper or any other resources about the method used for docking (in details)?
Thank you very much
Dear Sir and Madam,
I have performed a lot of attempts in order to conduct the coupled_moves docking with ligand without it protonation. I need to specify that this ligand (in his physiologically active form) has only one Hydrogen on his sulfonamide site. Nevertheless, despite the absence of any other Hydrogens both in input .params, MOL2 and PDB file, a lot of sites (sulfonamide Nitrogen with additional undesirable Hydrogen, as well as some Carbons on a benzene ring and tail) get protonated.
By the way, Ligand_Dock application also protonates all possible ligand sites.
I followed the tutorial, and did docking. Now, I can see that the complex structure that I predicted is completely match the true complex structure. But, when I use TMalign and TMscore, they give me something like the following:
Name of Chain_1: predicted.pdb
Name of Chain_2: true.pdb
Length of Chain_1: 289 residues
Length of Chain_2: 579 residues
TM-score= 1.00000 (if normalized by length of Chain_1)
TM-score= 0.49914 (if normalized by length of Chain_2)