「view this page in B3 βῆτα server」

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
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.

Test: linux.clang.integration.release_debug_no_symbols

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

Failed sub-tests (click for more details):