Structure prediction

Hi all,

I am working on the structural prediction of a symmetric multidomain protein using RosettaCM - I have to add a tetramerization domain for which no template structure is available, but for which I can set some distance constraints to steer the prediction in the right direction. For this, I changed

Dear all,
        I am trying to compile a c++ version of Rosetta into a python version in my ubuntu system(Ubuntu 5.4.0-6ubuntu1~16.04.12) recently, because I modified some c++ files in C++ Rosetta to add a fragment library which has fragments with a variable length (And it can compile successfully in c++ version of Rosetta).

Dear all,
        I am trying to compile a c++ version of Rosetta into a python version in my ubuntu system(Ubuntu 5.4.0-6ubuntu1~16.04.12) recently, because I modified some c++ files in C++ Rosetta to add a fragment library which has fragments with a variable length (And it can compile successfully in c++ version of Rosetta).

Dear community,

I am running structure prediction of a protein whose tertiary structure is unknown. I use the standard abinitio protocol explained in the Rosetta tutorial(s). I have currently generated 3000 decoys, which I tried to cluster in order to have an idea of which structures were mostly populated.

Using the following command for clustering:

cluster.default.linuxgccrelease -in:file:fullatom -cluster:radius 3 -nooutput -out:file:silent ./cluster.out -in:file:s *.pdb