Package: imp-dev Priority: optional Section: libdevel Installed-Size: 7630 Maintainer: Ben Webb Architecture: amd64 Source: imp Version: 2.6.0-1 Depends: imp (= 2.6.0-1), 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_2.6.0-1_amd64.deb Size: 1560364 MD5sum: dcf01519ce822bc71533fea1829601c1 SHA1: 93fc84b82aa42e468d8bd78c8514184c363e10d3 SHA256: 1dd6ce7cdb77137f6d8aa56464cfba3a783e207624fc828501a2bb91c65fdb03 SHA512: bd7ef0cc54c90b277981f8a6ab4c32a4ca72cdadbbcb601c8bcf77985cdb06f33829a13a1fc45da25c1f83f64b8f0cf5bc7d0f4ac86e4001a002054d473b51d6 Description: The Integrative Modeling Platform Headers to compile against IMP. Homepage: http://integrativemodeling.org/ Package: imp-python3 Priority: optional Section: libs Installed-Size: 54744 Maintainer: Ben Webb Architecture: amd64 Source: imp Version: 2.6.0-1 Depends: imp (= 2.6.0-1), python3, python3-numpy Filename: precise/imp-python3_2.6.0-1_amd64.deb Size: 13856492 MD5sum: f135e4f3c4dc202c5bd4999b3147cc91 SHA1: e796961eb8496d2780858f9c4482719d01484a23 SHA256: 7b2e2b39f347a5baba64d3682b3ca545217bfd3e0f388502c3f2a0ce6ae725b0 SHA512: ba95697344271f9ad9243fd113c97e1a0731ee451cf88c6090de6abc31d8a3e317d409fcbec9923a81f6b06920604e0d01cd13031f568073ef04f70ca6c51320 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: 326881 Maintainer: Ben Webb Architecture: amd64 Version: 2.6.0-1 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_2.6.0-1_amd64.deb Size: 65914824 MD5sum: 6cccb783c8f71166d3d0b22d4c6ff82c SHA1: cee0cbc0738d43142c0052c720ca5426ee48e2d0 SHA256: 50b62bdacc8b803517f5c6845b0896a438a2cb7ba8dd9096b51d72f2e699464a SHA512: 2cec59049ffe518b4d5b930127875a15cc69ff365c93d8bcb6bb8436646149db91c5add2314e237ad88357b753726c935075ef044e4778436ae658315157ea1e 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/