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Revisions №60808

branch: master 「№60808」
Commited by: Rebecca Alford
GitHub commit link: 「1591888227b275f4」 「№4047」
Difference from previous tested commit:  code diff
Commit date: 2019-06-27 17:04:21
linux.clang linux.gcc linux.srlz mac.clang
linux.PyRosetta.unit linux.gcc.python37.PyRosetta4.unit mac.PyRosetta.unit build.clean.debug cppcheck mysql postgres linux.clang.python36.build.debug linux.zeromq.debug mpi mpi.serialization linux.icc.build.debug OpenCL mac.clang.python36.build.debug build.header build.levels ninja graphics static linux.ui mac.ui build.xcode beautification code_quality.clang_analysis serialization integration.mpi integration.release_debug integration.tutorials integration maintenance.documentation performance profile release.source linux.clang.score linux.gcc.score mac.clang.score linux.scripts.pyrosetta scripts.rosetta.parse scripts.rosetta.validate scripts.rosetta.verify linux.clang.unit.release linux.gcc.unit.release util.apps

Merge pull request #4047 from RosettaCommons/rfalford12/membrane-efxn-sci-benchmark2 Membrane energy function scientific benchmarks part #1: Energy landscape and sequence recovery ----- This pull request will add two scientific benchmark tests for membrane energy functions. They can be used to compare implicit membrane models, and have been most recently used to demonstrate sizeable scientific improvements by franklin2019. * **mp_f19_efxn_landscape** Test the water-to-bilayer partitioning energy behavior of the energy function * **mp_f19_sequence_recovery**: Sequence recovery benchmark