Package: imp-dev Architecture: amd64 Version: 2.10.0-1 Priority: optional Section: libdevel Source: imp Maintainer: Ben Webb Installed-Size: 5375 Depends: imp (= 2.10.0-1), 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_2.10.0-1_amd64.deb Size: 723354 MD5sum: 3f36dc381406eeda2afe4fefa73f7e44 SHA1: e524daf2e64fc3e7c8f3594e120f447facb10217 SHA256: c619ca615cee6b2a8385bc2e3aac199058ee69dc92914c5d423136a17bb6f896 SHA512: e6577196ddb014fa6a4dea6e902522ee1e82fbcbb4bd1768007269a5c43fa8bcabdd927099e2f9c41f241570696dbd545c97b45646ef3c5ec4821a5bcc82794b Homepage: https://integrativemodeling.org/ Description: The Integrative Modeling Platform Headers to compile against IMP. Package: imp-python3 Architecture: amd64 Version: 2.10.0-1 Priority: optional Section: libs Source: imp Maintainer: Ben Webb Installed-Size: 64402 Depends: imp (= 2.10.0-1), python3, python3-numpy Filename: xenial/imp-python3_2.10.0-1_amd64.deb Size: 8757950 MD5sum: acb27e4fe37a1c11a57dfa035cc03320 SHA1: 15f7dee689b888ad6c5c63b6f6ca4e11c9189906 SHA256: 214e9d37702eecff33490ddda711bc22b1cbec0e3867439fb15cf158f5d6ba88 SHA512: 24fd4e14a06e2e7773b9edcef41f545e7c0c1eaf0e231acd95e4327d3802560241a4b62d719a8f6f06e4241894e7d074e520781364f70cabd12f4caf6f9223ee 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: 2.10.0-1 Priority: optional Section: libs Maintainer: Ben Webb Installed-Size: 413610 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_2.10.0-1_amd64.deb Size: 46497524 MD5sum: a9488c518c99e4ea55a9c8260ba54c03 SHA1: 828ab8dc522fd5e02721ac95614dfc3bf460cab7 SHA256: e351c52a6682e5383efc991312f94971371b3e429f3fa755b25e1d6f96734453 SHA512: aa526a6cab594c3fd653e462f01aa935cdbf2ec1b3993c236cdc3088d579282c57be1a8d87d881bdf4fbfeb1e4a10d2da447bdbc2368fe9d94b527e923052317 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.