Package: imp-dev Architecture: amd64 Version: 2.11.1-1 Priority: optional Section: libdevel Source: imp Maintainer: Ben Webb Installed-Size: 5383 Depends: imp (= 2.11.1-1), 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_2.11.1-1_amd64.deb Size: 724200 MD5sum: 641d45dcab9a99a080ac838585b68155 SHA1: 3c0e4a97a1cef69ec3847aa52f0693a111227b3f SHA256: 19071e8d53456bc63c2a5976d11b81f012ff613da7c57d695ab9abe0367e4d56 SHA512: 9b3f0a5f460c77656a69c7f0317c01b3da0fd6a366bfb80d8739a6b9fac96d32943d9e1b6c4cc0d049ab7353c80b412815340a13a98a89c23cd3c700d8770c55 Homepage: https://integrativemodeling.org/ Description: The Integrative Modeling Platform Headers to compile against IMP. Package: imp-python3 Architecture: amd64 Version: 2.11.1-1 Priority: optional Section: libs Source: imp Maintainer: Ben Webb Installed-Size: 64560 Depends: imp (= 2.11.1-1), python3, python3-numpy Filename: xenial/imp-python3_2.11.1-1_amd64.deb Size: 8755248 MD5sum: c7031c2b62ead65d9c0736ab0fb1f63b SHA1: a566474ad24e04ede9ca62243ccd06d626644d84 SHA256: 7203596a0b98a6376b1d9f2eef63e7d162797de4cb9681c59940be6fa2d3f93f SHA512: 59616761cb1f076eafb40d6713a2717c3d9b030a6dbcd661731fa5bd128d5d8432902847cc06eddab4230cfe4e3e2548d9cbc17a9a7f599185a3c104d7d558c9 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: 2.11.1-1 Priority: optional Section: libs Maintainer: Ben Webb Installed-Size: 414530 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_2.11.1-1_amd64.deb Size: 46916196 MD5sum: f646de9e4907e04c659d85f4e5e0d962 SHA1: 065c0d460aba4c974a206b7e68872fc8fdf4119b SHA256: ed5b5cde9c0e9881d4b683e505faffaf82fe3d23e2e4dc7e3fe36545d3686615 SHA512: 270021d8dcc847f15913f21fd792b260de067098844863f3d4193444541cd87fa8419fe2cf15d1015c181e0c542f7bf02fa75bb87fb80925f69f98d3e586211c 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.