Package: imp-dev Architecture: amd64 Version: 2.6.2-1 Priority: optional Section: libdevel Source: imp Maintainer: Ben Webb Installed-Size: 8354 Depends: imp (= 2.6.2-1), 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_2.6.2-1_amd64.deb Size: 1109438 MD5sum: 6373adbd87d681c8ddf7f7effdde2532 SHA1: ddf6956f4a87b92019105046e24168c02dcf1b2f SHA256: 41423c84c45c9c2e3cdb759ef0d574edb5f61442962497b63df8afb1b01afb45 SHA512: b91541a8323d9ffce063245301b5709dd6bb96fdc39e5fa2b0b42f4ac56b77b738cc6ef722854717a89f3749bacdb8fe7368b94dc246c20b7c0a729699c0e621 Homepage: https://integrativemodeling.org/ Description: The Integrative Modeling Platform Headers to compile against IMP. Package: imp-python3 Architecture: amd64 Version: 2.6.2-1 Priority: optional Section: libs Source: imp Maintainer: Ben Webb Installed-Size: 57876 Depends: imp (= 2.6.2-1), python3, python3-numpy Filename: xenial/imp-python3_2.6.2-1_amd64.deb Size: 7935744 MD5sum: df330f0265568fb0d24bd31c1eaff45f SHA1: 9281fa97f687abdf85043a275226d63d6a7c5de0 SHA256: aebef2189174a83c2436fe2889917bd0873688378b6e688bebf753f0fc159567 SHA512: 058ac2663caeca712c38a6f47fa39cd8ce95b2ef5da92f246c456bde7d5bcba4725062a1cb0df994e3c950e238bdb98e65a3dcae0a68a42c124f200d76cdf456 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: 2.6.2-1 Priority: optional Section: libs Maintainer: Ben Webb Installed-Size: 331657 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_2.6.2-1_amd64.deb Size: 39049014 MD5sum: f06c65a65b28ab108938014f753998a9 SHA1: 5aa05448e26076104a32b03af97d348237c0173d SHA256: 01b79d6a9293abfe7592ccc4fba53d9fe3bb452bab5a39a73be827e38bc90469 SHA512: 579490d231d6cb9aa5a7f0369720ca6ccf96f44f9161f4427ac66d6fe87fe01b198a4ecb731430a2fda6ff2eade673b5a82fec51453e67cec9b0d53ee13ef731 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.