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Revisions №60619

branch: master 「№60619」
Commited by: Ragul Gowthaman
GitHub commit link: 「19d7bece73fddc0f」 「№3647」
Difference from previous tested commit:  code diff
Commit date: 2019-02-12 07:52:01
linux.clang linux.gcc linux.srlz mac.clang
debug
release
unit
linux.PyRosetta.unit linux.gcc.python36.PyRosetta4.unit mac.PyRosetta.unit build.clean.debug cppcheck mysql postgres linux.zeromq.debug mpi mpi.serialization linux.icc.build.debug OpenCL build.header build.levels ninja graphics static linux.ui mac.ui build.xcode beautification serialization integration.mpi integration.release_debug integration performance profile linux.clang.python36.release.PyRosetta4.MinSizeRel mac.clang.python36.release.PyRosetta4.MinSizeRel ubuntu.clang.python35.release.PyRosetta4.MinSizeRel release.source linux.clang.score linux.gcc.score mac.clang.score linux.scripts.pyrosetta scripts.rosetta.parse scripts.rosetta.validate scripts.rosetta.verify unit.addsan linux.clang.unit.release linux.gcc.unit.release unit.ubsan

Merge pull request #3647 from RosettaCommons/bioragul/TCRmodel TCRmodel contains the protocol for modeling T cell receptors (TCR). The ‘tcrmodel’ application is used for modeling TCRs. The protocol uses the template structures present in "Rosetta/main/database/additional_protocol_data/tcr/". The template files are updated separately. The TCRseqInfo class handles the parsing/numbering of TCR sequences. The TCRmodel class handles the actual grafting/modeling of TCRs. TCRloopRefine class handles the post-modeling refinement of CDR loops. Two unit tests and an integration test were added. A demo of this protocol is included in the tutorials. The documentation link for this protocol is https://www.rosettacommons.org/docs/latest/application_documentation/structure_prediction/TCRmodel.

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Test: linux.clang.integration.release_debug_no_symbols

Failed sub-tests (click for more details):
tcrmodel
Test: linux.clang.performance

Failed sub-tests (click for more details):
protocols_ligand_docking_LigandDockProtocol