Good morning everyone~
Recently, I had read the paper entitled "De novo design of potent and selective mimics of IL-2 and IL-15”
And I am very interesting in it, and I want to learning how to performing it in using pyrosetta.
However, in the Code availability section, I can not find any information about the submodule
‘pyrosetta_scripts/apps/deNovoProteinDesign/deNovoProteinMimeticsGen2/' . Even I download the newest weekly version(rosetta_src_2018.48.60516_bundle) and pyrosetta(PyRosetta4.Release.python27.mac.release-206).
Are there some one tell me how can i found these script?
Thank you!
Category:
Post Situation:
Hi,
Sorry (for the delay), you are looking in the right place. Aka this:
pyrosetta_scripts/apps/deNovoProteinDesign/deNovoProteinMimeticsGen2
But, I forgot to push my commit to origin earlier, so it is now delayed.
It has been pushed now, it will def-come out with the next release. Sorry.
(BTW: It has a HOWTO that explains how to run a completely worked-out example)
Best,
Daniel
commit fd8934afab2797b48754dfb6df2eed537b5b9e92
Merge: b52f26b 24873cd
Author: dadriano <dadriano@mia.local>
Date: Mon Jan 14 21:54:35 2019 -0800
Merge remote-tracking branch 'origin/master' adds: deNovoProteinMimeticsGen2
Added DeNovoProteinDesign deNovoProteinMimeticsGen2 algorithm
Refers to Nature publication doi: 10.1038/s41586-018-0830-7
De novo design of potent and selective mimics of IL-2 and IL-15
D-A Silva, S Yu, U Y. Ulge, J B. Spangler, et.al., 01/10/2019, Nature
Thank you for your reply! Looking forward to studying on it!!!
Hi, Daniel
I can not find the submodule ‘pyrosetta_scripts/apps/deNovoProteinDesign/deNovoProteinMimeticsGen2/’ in Pyrosetta4.release.python27.ubuntu.release-224.
Can you tell me where I can find it?
Thank you very much!
Best,
Hui
Hi,I'm getting the following error after removal of " <CavityVolume name="cav_vol_disabled" />" from deNovoPreprofiledMimeticsDesign_gen2.xml
###########
Error: [ ERROR ] ERROR: Exception caught by JobDistributor while trying to get pose from job 'd9d67fad_2b5i_IL2only_renum_dlooperf_s00030015_c2b5i_rBGonly_renum_36187dfe_0001'
Error: [ ERROR ]
File: src/protocols/filters/BasicFilters.cc:534
[ ERROR ] UtilityExitException
ERROR: Assertion `find_filter != filters.end()` failed.
############
As I do not have the cavity volume after checking this https://www.rosettacommons.org/node/10057 I would like to know if there's a fix to this script.
Thanks,
Tarsis
If you remove the definition of the CavityVolume filter, you also have to remove any usage of it. (Look for lines which have "cav_vol_disabled" in them.)
Hello,
I can not find the submodule ‘pyrosetta_scripts/apps/deNovoProteinDesign/deNovoProteinMimeticsGen2/’ in Pyrosetta4.release.python27.ubuntu.release-224.
Who can tell me where I can find it?
Thanks!
Best,
Hui
I'm not sure if the pyrosetta_scripts directory is distributed with the standard PyRosetta distribution. It can, though, be found with the recent released of command line Rosetta, which can be downloaded from https://www.rosettacommons.org/software/license-and-download
Howdy Everyone!
I hope all is well, I'm a research intern at UNMC (University of Nebraska Medical Center), and after reading this article I was curious on running the algorithm myself. However, I ran into an error on line 632 of the, "protein_mimic_designer_r2_00b_libs.py".
The error reads:
ValueError: Invalid shape in the fixed-type tuple.
After looking around on stack overflow I wasn't able to find anything that could fix the issue, I'm hoping someone can help me with what I'm missing :)
I'm using python3.7 to run the script— I converted both scripts from python 2 to 3 using the "2to3" package— and am running this on a MacBook 2017. I will attach a photo below of the error and corresponding part of the pyrosetta script.
Thank you so much for your time in advance, and I look forward to working with this algorithm some more
The corresponding python script the error refers too:
def get_fragment_entry_dtype(num_fragment_atoms):
frag_size=num_fragment_atoms/len(atom_types_arr)
return np.dtype([("assignment", np.int),
("size", np.int),
("avg_distance", np.float),
("threshold_distance", np.float),
("cordinates", np.float, (num_fragment_atoms, 3)),
("bb", np.float, (frag_size, 3)),
("ss", np.float, (frag_size, 3)),
("aa", np.float, (frag_size, 20)),
("aa_w", np.float, (frag_size, 20))]) (line 632)
Hi, zhangying,sorry to reply you after so long. I am a graduate student of Chongqing University, and I have just started learning how to use protein mimic designer. I would like to ask you some questions. Is it convenient to leave an email for communication?