Package: imp-dev
Architecture: amd64
Version: 2.18.0-1
Priority: optional
Section: libdevel
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 6852
Depends: imp (= 2.18.0-1), 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, python3-dev, libann-dev, libeigen3-dev, libprotobuf-dev
Filename: bionic/imp-dev_2.18.0-1_amd64.deb
Size: 908588
MD5sum: 206a2a12c1b291bf7eb7a965520b0205
SHA1: 2f9ae5c750a905af02b50d050fac10157f72b719
SHA256: a85097b7da64e413b89e64bf8e5b08ea10be7df5c19cea2811025968775fbf2c
SHA512: 92cb2e5118b7c9495bce01fea2e1bd3069c6648d0070dc749505286f17148c588a24f5b5c16a3963e6920cb559833828cd2f0582fb5386964169aa77c5b93cdc
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 Headers to compile against IMP.

Package: imp-openmpi
Architecture: amd64
Version: 2.18.0-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 4740
Depends: imp (= 2.18.0-1), libboost-filesystem1.65.1, libboost-program-options1.65.1, libboost-system1.65.1, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libopencv-core3.2, libopencv-imgcodecs3.2, libopenmpi2, libstdc++6 (>= 5.2)
Filename: bionic/imp-openmpi_2.18.0-1_amd64.deb
Size: 806388
MD5sum: 2aafcca13007990457d9e4113a14e3e0
SHA1: 96359fb879de01d44717f7a4e26291578eef4210
SHA256: da753d67d5e6b128b7ee19f167483f6f78f83f7c136c6b1ce9d6e463b85384f7
SHA512: 6c6d12b45f45142473321f59ed050e70f573f865d613e8de116eb8bf7a6e46114295fd407ff72cda4bcddb2c7dc871c6b3e2ce642e00678d2c47af039e4bf4cf
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 IMP MPI module and dependents, for openmpi.

Package: imp-python2
Architecture: amd64
Version: 2.18.0-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 83199
Depends: imp (= 2.18.0-1), python-numpy, python-protobuf
Filename: bionic/imp-python2_2.18.0-1_amd64.deb
Size: 11261824
MD5sum: 231e8c07b988ad52e34b72c1661c219d
SHA1: d833b361cd45bde3d3dd8491d7a7c6db405642e4
SHA256: 66a4cbc3e090d6acff9b6e2ef190061e0612f26e71eca275813257da980fa49c
SHA512: 72aa376519c22958fe5779269b0a7b3591dfbc74ed44b5209f768403ee1e83599dd98cfb0e9079e320a90482fe82b4f3e4d628eb1631468e845f516e8db44231
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 Wrappers for Python 2 (the base IMP package contains Python 3 wrappers).

Package: imp
Architecture: amd64
Version: 2.18.0-1
Priority: optional
Section: libs
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 421562
Depends: libboost-filesystem1.65.1, libboost-graph1.65.1, libboost-iostreams1.65.1, libboost-program-options1.65.1, libboost-random1.65.1, libboost-serialization1.65.1, 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), python3-numpy, python3-protobuf
Breaks: imp-python3 (<< 2.13.0)
Replaces: imp-python3 (<< 2.13.0)
Filename: bionic/imp_2.18.0-1_amd64.deb
Size: 46945336
MD5sum: 61e2eeca10a260ddbfe35aec78ee3ad7
SHA1: 39b1a37861a9656ba0238c6c5def5677745879d9
SHA256: 027890c2234ebfcdb7c95fe3c6ae37f4f441bc97caf9fc895d38d20306e82915
SHA512: b5b908bef13e6df4d6557c802b028073aec9ec63f8b17904c563107978dd0fd6c7bbade3b88d07b5ed920e6e73481e8fccdb02b9c18199509b1bc01f99ef5104
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.