Package: imp-dev
Architecture: amd64
Version: 2.10.0-1
Priority: optional
Section: libdevel
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 5375
Depends: imp (= 2.10.0-1), 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, libeigen3-dev, libprotobuf-dev
Filename: xenial/imp-dev_2.10.0-1_amd64.deb
Size: 723354
MD5sum: 3f36dc381406eeda2afe4fefa73f7e44
SHA1: e524daf2e64fc3e7c8f3594e120f447facb10217
SHA256: c619ca615cee6b2a8385bc2e3aac199058ee69dc92914c5d423136a17bb6f896
SHA512: e6577196ddb014fa6a4dea6e902522ee1e82fbcbb4bd1768007269a5c43fa8bcabdd927099e2f9c41f241570696dbd545c97b45646ef3c5ec4821a5bcc82794b
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 Headers to compile against IMP.

Package: imp-python3
Architecture: amd64
Version: 2.10.0-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 64402
Depends: imp (= 2.10.0-1), python3, python3-numpy
Filename: xenial/imp-python3_2.10.0-1_amd64.deb
Size: 8757950
MD5sum: acb27e4fe37a1c11a57dfa035cc03320
SHA1: 15f7dee689b888ad6c5c63b6f6ca4e11c9189906
SHA256: 214e9d37702eecff33490ddda711bc22b1cbec0e3867439fb15cf158f5d6ba88
SHA512: 24fd4e14a06e2e7773b9edcef41f545e7c0c1eaf0e231acd95e4327d3802560241a4b62d719a8f6f06e4241894e7d074e520781364f70cabd12f4caf6f9223ee
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: 2.10.0-1
Priority: optional
Section: libs
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 413610
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 (>= 1:3.4), libgmp10, libgomp1 (>= 4.9), libgsl2, libhdf5-10, libmpfr4 (>= 3.1.3), libopencv-core2.4v5, libopencv-highgui2.4v5, libopencv-imgproc2.4v5, libprotobuf9v5, libstdc++6 (>= 5.2), python-numpy, python-protobuf
Filename: xenial/imp_2.10.0-1_amd64.deb
Size: 46497524
MD5sum: a9488c518c99e4ea55a9c8260ba54c03
SHA1: 828ab8dc522fd5e02721ac95614dfc3bf460cab7
SHA256: e351c52a6682e5383efc991312f94971371b3e429f3fa755b25e1d6f96734453
SHA512: aa526a6cab594c3fd653e462f01aa935cdbf2ec1b3993c236cdc3088d579282c57be1a8d87d881bdf4fbfeb1e4a10d2da447bdbc2368fe9d94b527e923052317
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.