Package: imp-dev Priority: optional Section: libdevel Installed-Size: 4771 Maintainer: Ben Webb Architecture: amd64 Source: imp Version: 2.10.1-1 Depends: imp (= 2.10.1-1), 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, libhdf5-dev, libfftw3-dev, libopencv-dev, libgsl0-dev, python-dev, libann-dev, libeigen3-dev, libprotobuf-dev Filename: trusty/imp-dev_2.10.1-1_amd64.deb Size: 721952 MD5sum: 6c87cc32e52daae5e627b8085c76f48c SHA1: ede47172492c4510711686ff5495eb14ad87a8d5 SHA256: b68952b38fbe7613de0310e6317abdda94a2cd847325533883ca8d95aa527fcd SHA512: c3abccec33ecfdd07595395725fceee84ffe9da83d18342a66cd2dd30cdf1595d5b538ca0c14b998a87831125fe4b69c36eb0caa6a9d9f8805dd763ecac9b0d7 Description: The Integrative Modeling Platform Headers to compile against IMP. Homepage: https://integrativemodeling.org/ Package: imp-python3 Priority: optional Section: libs Installed-Size: 62596 Maintainer: Ben Webb Architecture: amd64 Source: imp Version: 2.10.1-1 Depends: imp (= 2.10.1-1), python3, python3-numpy Filename: trusty/imp-python3_2.10.1-1_amd64.deb Size: 8637986 MD5sum: 9227bac4084e774f037cd36b70bfdc9b SHA1: 0f85d1aef4d8690646fb48d6d3241c93e1b84dfa SHA256: 339027eed4147dc4861bee5bfb9f38d9e542b5e9a5f74fbdac570a013eeb0688 SHA512: 2b65bec545906e1bf13df35673e59957851165d5a250ce3fdd83e3f662d0c488129786f5a300c8dec0ca275ebe748f93a772f3b42d6cebdba51081d1d8d776f7 Description: The Integrative Modeling Platform Wrappers for Python 3 (the base IMP package contains Python 2 wrappers). Homepage: https://integrativemodeling.org/ Package: imp Priority: optional Section: libs Installed-Size: 409431 Maintainer: Ben Webb Architecture: amd64 Version: 2.10.1-1 Depends: libboost-filesystem1.54.0, libboost-graph1.54.0, libboost-iostreams1.54.0, libboost-program-options1.54.0, libboost-random1.54.0, libboost-system1.54.0, libboost-thread1.54.0, libc6 (>= 2.14), libcgal10, libfftw3-double3, libgcc1 (>= 1:4.1.1), libgmp10, libgomp1 (>= 4.4), libgsl0ldbl (>= 1.9), libhdf5-7, libmpfr4 (>= 3.1.2), libopencv-core2.4, libopencv-highgui2.4, libopencv-imgproc2.4, libprotobuf8, libstdc++6 (>= 4.6), python-numpy, python-protobuf Filename: trusty/imp_2.10.1-1_amd64.deb Size: 44449648 MD5sum: a02cc49d346450f2bd0a1bccf2155d0b SHA1: 2636fffd4bc6c051ade8853ccf0b0b8771ca2c2b SHA256: 368d8b972c53fe384b97aedff78f83d776190e8b53e13b4a2dd99d4cb5b3707c SHA512: 1eb63e36dd6ce98a51d411b26a83c561ea4820be7a9e5e0e6bc5f573705fb18c94bf4b4e9d10c3186ec1ea9fcd856c4fea7b5718dcb71fe406ec28a9e132219d 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. Homepage: https://integrativemodeling.org/