Package: imp-dev Architecture: amd64 Version: 2.11.0-1 Priority: optional Section: libdevel Source: imp Maintainer: Ben Webb Installed-Size: 5383 Depends: imp (= 2.11.0-1), 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, libeigen3-dev, libprotobuf-dev Filename: xenial/imp-dev_2.11.0-1_amd64.deb Size: 724136 MD5sum: f838929a6f97e8139d3b68ba02ab10f7 SHA1: 13570b9ffaf310df1b48a71b8713d3d686b2870c SHA256: 3bc2d7279a65462d1111669257cb2dcbd2c57e52f7f1c48ac610bbc366f977ca SHA512: e922dfb18bd5d3221b9b6342c4fd50c77799c9d8e7669776d2e048f89af7b67c1982ff8aa17991cc5d32eef9392832ccf12e8fb8daafc4e8ab1091a736afbea0 Homepage: https://integrativemodeling.org/ Description: The Integrative Modeling Platform Headers to compile against IMP. Package: imp-python3 Architecture: amd64 Version: 2.11.0-1 Priority: optional Section: libs Source: imp Maintainer: Ben Webb Installed-Size: 64556 Depends: imp (= 2.11.0-1), python3, python3-numpy Filename: xenial/imp-python3_2.11.0-1_amd64.deb Size: 8766060 MD5sum: c149489d74e07b35edeb7758c12fa298 SHA1: a43e6f0abd03f6e3833c938dbf1fb7767a5027a0 SHA256: 534d6c8c657e16d85f7539a574a660a3f5efce30d95e9332694dcf255dcbc6cc SHA512: d3dfccc6b808f1a689e38cf6ce80e7e908a30b78768f834e0f4816cf63be635e6700cdde89cb949d318ef45fea838c4982e8db49bad33a07bdf12ca5d76bba1c 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: 2.11.0-1 Priority: optional Section: libs Maintainer: Ben Webb Installed-Size: 414525 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 (>= 1:3.4), libgmp10, libgomp1 (>= 4.9), libgsl2, libhdf5-10, libmpfr4 (>= 3.1.3), libopencv-core2.4v5, libopencv-highgui2.4v5, libopencv-imgproc2.4v5, libprotobuf9v5, libstdc++6 (>= 5.2), python-numpy, python-protobuf Filename: xenial/imp_2.11.0-1_amd64.deb Size: 46935104 MD5sum: b8e47f8e48fa6dc80dc4b51466815d4d SHA1: 6f4a50efbe1f5deb2b9c5d88e2233aac6c3ca948 SHA256: a4cf40a14f008e21a108ad75c3611bc5bffec506196e6389ae49940b7c21156e SHA512: 1a73ffce659b809855d5555fc47d48ea9a3c4fb0aa8015b5c383f1cbc5dccbf9dc761c20b2c852ae03e104ab6675fa233313a6be8d6cd94ba479f9bdc5b609a1 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.