Package: imp-dev
Architecture: amd64
Version: 2.8.0-1
Priority: optional
Section: libdevel
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 8691
Depends: imp (= 2.8.0-1), 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, libcgal-qt5-dev, libhdf5-dev, libfftw3-dev, libopencv-dev, libgsl0-dev, python-dev, libann-dev
Filename: xenial/imp-dev_2.8.0-1_amd64.deb
Size: 1153202
MD5sum: 5fed38916943e4dfef5a3bb9a3fd0961
SHA1: 074359efd2bcb46d36f4ea0167ed1ed2af56117e
SHA256: d953f9b88c9c81e36708a2d57e4982b64045f5eaa77ccbffe3d6191d87ea1e6d
SHA512: c61add6125ce6a9a27c6c34b4aae1f4eea5ec41edc067ae1cc08a06eb309238449ace796d75bac9cfac372903ce4bd28b604c6f7015e1d1902c88c05ecd631d3
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 Headers to compile against IMP.

Package: imp-python3
Architecture: amd64
Version: 2.8.0-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 57421
Depends: imp (= 2.8.0-1), python3, python3-numpy
Filename: xenial/imp-python3_2.8.0-1_amd64.deb
Size: 7940992
MD5sum: 9057d8e7301c89f82578561c30256172
SHA1: d390836ca011dc7e869eff3d76afefef00c76f5b
SHA256: 696361167583254ec08cd5100bfa2c04d4a279e6e611b7145f7e5eec7861ab13
SHA512: da92345557f0e3c0fd0128d2012d0ea996a344698d4f81e9d5035d95d79ad9296d0ca676a157eb47ad40707af4842c3b6aae4552a1f2ece7f29048b9c608149d
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: 2.8.0-1
Priority: optional
Section: libs
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 331359
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_2.8.0-1_amd64.deb
Size: 39219138
MD5sum: acc33f0ba1df018eff2bc6b74fa4f83f
SHA1: c56713f109c3e10d3c9dd89ba77f7aa00a4be04c
SHA256: 64e973ce53c700ef400f120c976efd510cc3adc74527e5790722b4f009dbe3f5
SHA512: 3ddaaca592f48e88283762999c88ab10e5581469d3f538a6d8644616023023537d2bc64cfa56bf6b6f495fb02df320860c0fa0c64d7e3034792edbdc54cdeeed
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.