Package: imp-dev
Architecture: amd64
Version: 2.11.1-1
Priority: optional
Section: libdevel
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 5383
Depends: imp (= 2.11.1-1), 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_2.11.1-1_amd64.deb
Size: 724200
MD5sum: 641d45dcab9a99a080ac838585b68155
SHA1: 3c0e4a97a1cef69ec3847aa52f0693a111227b3f
SHA256: 19071e8d53456bc63c2a5976d11b81f012ff613da7c57d695ab9abe0367e4d56
SHA512: 9b3f0a5f460c77656a69c7f0317c01b3da0fd6a366bfb80d8739a6b9fac96d32943d9e1b6c4cc0d049ab7353c80b412815340a13a98a89c23cd3c700d8770c55
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 Headers to compile against IMP.

Package: imp-python3
Architecture: amd64
Version: 2.11.1-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 64560
Depends: imp (= 2.11.1-1), python3, python3-numpy
Filename: xenial/imp-python3_2.11.1-1_amd64.deb
Size: 8755248
MD5sum: c7031c2b62ead65d9c0736ab0fb1f63b
SHA1: a566474ad24e04ede9ca62243ccd06d626644d84
SHA256: 7203596a0b98a6376b1d9f2eef63e7d162797de4cb9681c59940be6fa2d3f93f
SHA512: 59616761cb1f076eafb40d6713a2717c3d9b030a6dbcd661731fa5bd128d5d8432902847cc06eddab4230cfe4e3e2548d9cbc17a9a7f599185a3c104d7d558c9
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: 2.11.1-1
Priority: optional
Section: libs
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 414530
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_2.11.1-1_amd64.deb
Size: 46916196
MD5sum: f646de9e4907e04c659d85f4e5e0d962
SHA1: 065c0d460aba4c974a206b7e68872fc8fdf4119b
SHA256: ed5b5cde9c0e9881d4b683e505faffaf82fe3d23e2e4dc7e3fe36545d3686615
SHA512: 270021d8dcc847f15913f21fd792b260de067098844863f3d4193444541cd87fa8419fe2cf15d1015c181e0c542f7bf02fa75bb87fb80925f69f98d3e586211c
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.