Package: imp-dev
Architecture: amd64
Version: 2.9.0-1
Priority: optional
Section: libdevel
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 5302
Depends: imp (= 2.9.0-1), 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: bionic/imp-dev_2.9.0-1_amd64.deb
Size: 712204
MD5sum: eca0e034ed74e4a3787e2f5f978b368c
SHA1: 4d209640bc59d711b3133edf40c4d638d16b6ba0
SHA256: f995a7786826f046bedc5cd66a386851f8e8c1eccb19607d6758268c8359cb72
SHA512: 540db06367d6a84709e52305547879db889809dbd49d02f0a359aca5825c2bd9e63631245ddaf0543f13ae629dbeefff304fd4794ee7c5a565aec4824a02a2dd
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 Headers to compile against IMP.

Package: imp-python3
Architecture: amd64
Version: 2.9.0-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 62264
Depends: imp (= 2.9.0-1), python3, python3-numpy, python3-protobuf
Filename: bionic/imp-python3_2.9.0-1_amd64.deb
Size: 8697524
MD5sum: 34683f5a3ae76be644b66c9226e7ecda
SHA1: ad9b80f138c6a1216fc7e68fb6ac5248e2803fc6
SHA256: 5d9648d171e630a9068be41b5ea4215121b1e70b86a7a410fed9f6f7c5e596b0
SHA512: 12bbd8457d8ec4b6796a1fc70ae549aad20349604571fe80af4235e5c8203d5fcb0df51cbee587faaf2135c93bd410120a6f78f8fb14fb84217e6e7f738b7016
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: 2.9.0-1
Priority: optional
Section: libs
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 405458
Depends: libboost-filesystem1.65.1, libboost-graph1.65.1, libboost-iostreams1.65.1, libboost-program-options1.65.1, libboost-random1.65.1, libboost-system1.65.1, libc6 (>= 2.27), libcgal13, libfftw3-double3 (>= 3.3.5), libgcc1 (>= 1:4.0), libgmp10, libgomp1 (>= 4.9), libgsl23, libgslcblas0, libhdf5-100, libmpfr6 (>= 3.1.3), libopencv-core3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libprotobuf10, libstdc++6 (>= 5.2), python-numpy, python-protobuf
Filename: bionic/imp_2.9.0-1_amd64.deb
Size: 45204624
MD5sum: 20c33b5dbe106967fbc6384185d5bbfd
SHA1: dbdae8f6dfc96c4430a229c47ad94e560bdd1c3e
SHA256: d862ef840f52e31c5ec2fc70476338c2f961a87cc19282c2232c154f42c0c7aa
SHA512: c10f74fb647b99a0bcfbb455b86b44c4b2e722f504b6d4397c9a0ff99be645fa872c21968f6343f6393b3be17e1904cb7d24237fb6f45bf124de550708d0de29
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.