Package: imp-dev Priority: optional Section: libdevel Installed-Size: 4711 Maintainer: Ben Webb Architecture: amd64 Source: imp Version: 2.9.0-1 Depends: imp (= 2.9.0-1), 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, libhdf5-dev, libfftw3-dev, libopencv-dev, libgsl0-dev, python-dev, libann-dev, libeigen3-dev, libprotobuf-dev Filename: trusty/imp-dev_2.9.0-1_amd64.deb Size: 715738 MD5sum: df683c33d3d18b6669d00b7f9212e798 SHA1: 9b5920f12921fe12be89841c95178b7d1aaff7ef SHA256: e9966430d8c3b45d9f96007c723d91bfc68ae84be9bc590182ad82a097f0e193 SHA512: 2b4f8d940127a12c4696837484df6d61295664095c9ea171cdefe8b3397f056139fc52634920d0e3a9294aee8445a0802a8f4526b0721b4800c91689f3bd4f28 Description: The Integrative Modeling Platform Headers to compile against IMP. Homepage: https://integrativemodeling.org/ Package: imp-python3 Priority: optional Section: libs Installed-Size: 60931 Maintainer: Ben Webb Architecture: amd64 Source: imp Version: 2.9.0-1 Depends: imp (= 2.9.0-1), python3, python3-numpy Filename: trusty/imp-python3_2.9.0-1_amd64.deb Size: 8465750 MD5sum: 9be0f5db3da9dce3cdc06eeaceb0f4c9 SHA1: 717b486993b01c1d83159c2d655c3d9d0347cc58 SHA256: 24c921b43fb014310e9817a09e34250202fca529609a6b0851b808e529f6535f SHA512: 68c7320205f41f89d45401e4b2de369b1bb60487a72328b2da14ab173a117037d19c043599ef9e074f782c66c1c76b95c93b2b4f808765d4505033a4a32a31e6 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: 401136 Maintainer: Ben Webb Architecture: amd64 Version: 2.9.0-1 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_2.9.0-1_amd64.deb Size: 44203790 MD5sum: 6b617c8880ba4c1dbacfa06153411c0e SHA1: 0641a3c10f76762a4ce6708f75d26accb0f91205 SHA256: 131d3340cad2bef308bbe30a91bec8bb93d80d95086ddd21c9cf19847585b64c SHA512: 84ae70ca3fd62f250ef3365c92c12b6bbbae80ac2df4be9ce91783dd66616025743a7b472714d93fb72f18e1ff60e104c3df490e862411e31535e4282e738221 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/