Package: imp-dev Architecture: amd64 Version: 2.8.0-1 Priority: optional Section: libdevel Source: imp Maintainer: Ben Webb Installed-Size: 8691 Depends: imp (= 2.8.0-1), cmake, swig, libboost-filesystem-dev, libboost-graph-dev, libboost-iostreams-dev, libboost-program-options-dev, libboost-random-dev, libboost-regex-dev, libboost-thread-dev, libcgal-dev, libcgal-qt5-dev, libhdf5-dev, libfftw3-dev, libopencv-dev, libgsl0-dev, python-dev, libann-dev Filename: xenial/imp-dev_2.8.0-1_amd64.deb Size: 1153202 MD5sum: 5fed38916943e4dfef5a3bb9a3fd0961 SHA1: 074359efd2bcb46d36f4ea0167ed1ed2af56117e SHA256: d953f9b88c9c81e36708a2d57e4982b64045f5eaa77ccbffe3d6191d87ea1e6d SHA512: c61add6125ce6a9a27c6c34b4aae1f4eea5ec41edc067ae1cc08a06eb309238449ace796d75bac9cfac372903ce4bd28b604c6f7015e1d1902c88c05ecd631d3 Homepage: https://integrativemodeling.org/ Description: The Integrative Modeling Platform Headers to compile against IMP. Package: imp-python3 Architecture: amd64 Version: 2.8.0-1 Priority: optional Section: libs Source: imp Maintainer: Ben Webb Installed-Size: 57421 Depends: imp (= 2.8.0-1), python3, python3-numpy Filename: xenial/imp-python3_2.8.0-1_amd64.deb Size: 7940992 MD5sum: 9057d8e7301c89f82578561c30256172 SHA1: d390836ca011dc7e869eff3d76afefef00c76f5b SHA256: 696361167583254ec08cd5100bfa2c04d4a279e6e611b7145f7e5eec7861ab13 SHA512: da92345557f0e3c0fd0128d2012d0ea996a344698d4f81e9d5035d95d79ad9296d0ca676a157eb47ad40707af4842c3b6aae4552a1f2ece7f29048b9c608149d Homepage: https://integrativemodeling.org/ Description: The Integrative Modeling Platform Wrappers for Python 3 (the base IMP package contains Python 2 wrappers). Package: imp Architecture: amd64 Version: 2.8.0-1 Priority: optional Section: libs Maintainer: Ben Webb Installed-Size: 331359 Depends: libboost-filesystem1.58.0, libboost-graph1.58.0, libboost-iostreams1.58.0, libboost-program-options1.58.0, libboost-random1.58.0, libboost-system1.58.0, libboost-thread1.58.0, libc6 (>= 2.14), libcgal11v5, libfftw3-double3, libgcc1 (>= 1:4.0), libgmp10, libgomp1 (>= 4.9), libgsl2, libhdf5-10, libmpfr4 (>= 3.1.3), libopencv-core2.4v5, libopencv-highgui2.4v5, libopencv-imgproc2.4v5, libstdc++6 (>= 5.2), python-numpy Filename: xenial/imp_2.8.0-1_amd64.deb Size: 39219138 MD5sum: acc33f0ba1df018eff2bc6b74fa4f83f SHA1: c56713f109c3e10d3c9dd89ba77f7aa00a4be04c SHA256: 64e973ce53c700ef400f120c976efd510cc3adc74527e5790722b4f009dbe3f5 SHA512: 3ddaaca592f48e88283762999c88ab10e5581469d3f538a6d8644616023023537d2bc64cfa56bf6b6f495fb02df320860c0fa0c64d7e3034792edbdc54cdeeed Homepage: https://integrativemodeling.org/ Description: The Integrative Modeling Platform IMP's broad goal is to contribute to a comprehensive structural characterization of biomolecules ranging in size and complexity from small peptides to large macromolecular assemblies. Detailed structural characterization of assemblies is generally impossible by any single existing experimental or computational method. This barrier can be overcome by hybrid approaches that integrate data from diverse biochemical and biophysical experiments (eg, x-ray crystallography, NMR spectroscopy, electron microscopy, immuno-electron microscopy, footprinting, chemical cross-linking, FRET spectroscopy, small angle X-ray scattering, immunoprecipitation, genetic interactions, etc...). . We formulate the hybrid approach to structure determination as an optimization problem, the solution of which requires three main components: * the representation of the assembly, * the scoring function and * the optimization method. . The ensemble of solutions to the optimization problem embodies the most accurate structural characterization given the available information. . We created IMP, the Integrative Modeling Platform, to make it easier to implement such an integrative approach to structural and dynamics problems. IMP is designed to allow mixing and matching of existing modeling components as well as easy addition of new functionality.