Package: imp-dev Priority: optional Section: libdevel Installed-Size: 7971 Maintainer: Ben Webb Architecture: amd64 Source: imp Version: 2.5.0-1 Depends: imp (= 2.5.0-1), 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-serial-dev, libfftw3-dev, libopencv-dev, libgsl0-dev, python-dev, libann-dev Filename: precise/imp-dev_2.5.0-1_amd64.deb Size: 1588054 MD5sum: 07c1b998f23615e0dbc0813823a166ee SHA1: 5e13ab598d0caefbfe0d855960d1fab94185d5ea SHA256: 5a127fb4dfa88548b3508fbde7415ed134f8811e10d475b50d7cc835d9c7a6ac SHA512: aca51cf41507c5a2e6e7e6e6f0ce27a0b28376be59efc777ec0e563e0d7337957b03a831a3a410bff632f2eab8bb624e166ea0e5c861e435e08e5898fafce19b Description: The Integrative Modeling Platform Headers to compile against IMP. Homepage: http://integrativemodeling.org/ Package: imp-python3 Priority: optional Section: libs Installed-Size: 54630 Maintainer: Ben Webb Architecture: amd64 Source: imp Version: 2.5.0-1 Depends: imp (= 2.5.0-1), python3, python3-numpy Filename: precise/imp-python3_2.5.0-1_amd64.deb Size: 13802132 MD5sum: cae9c2e23a5d009297970eb70fd7f259 SHA1: 80908503ea61d675831e7e29b4a23dc285e943d4 SHA256: 473351685e72f2600594f4990cc0a0b067a9879f7275a4539198a6cb92445b9e SHA512: 4c477c297b3f17e47c706beb993e6b056b6b5f6c3714ad8b02b4de0603482cefc5f826d0cc5084182484e5c0bd2b175b2af4240dbfaf64976d043eae02372bac Description: The Integrative Modeling Platform Wrappers for Python 3 (the base IMP package contains Python 2 wrappers). Homepage: http://integrativemodeling.org/ Package: imp Priority: optional Section: libs Installed-Size: 321346 Maintainer: Ben Webb Architecture: amd64 Version: 2.5.0-1 Depends: libboost-filesystem1.46.1 (>= 1.46.1-1), libboost-graph1.46.1 (>= 1.46.1-1), libboost-iostreams1.46.1 (>= 1.46.1-1), libboost-program-options1.46.1 (>= 1.46.1-1), libboost-random1.46.1 (>= 1.46.1-1), libboost-system1.46.1 (>= 1.46.1-1), libboost-thread1.46.1 (>= 1.46.1-1), libc6 (>= 2.14), libcgal8, libfftw3-3, libgcc1 (>= 1:4.1.1), libgmp10, libgomp1 (>= 4.4), libgsl0ldbl (>= 1.9), libhdf5-serial-1.8.4 | libhdf5-1.8.4, libmpfr4 (>= 3.1.0), libopencv-core2.3, libopencv-highgui2.3, libopencv-imgproc2.3, libstdc++6 (>= 4.6), python-numpy Filename: precise/imp_2.5.0-1_amd64.deb Size: 63536734 MD5sum: e789414fa8267bcba92f3b219607ebe5 SHA1: 362282358fe14e04356a1398bcaaf2e7cc2f4709 SHA256: 583ba9cbbdada12e9055c852f5cc774481ff1e0ea328e2b32f29663b3008e0ca SHA512: 4a4cf581082d4051d05768b1c9ce3d2470dbc23c8be19fcd6f6ee312edb4b76b8cc0c0b0d0f8e5b17f92f28e8cf645b98eb71af2d842aa81674a4470ea539002 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: http://integrativemodeling.org/