Package: imp-dev
Architecture: amd64
Version: 2.10.1-1
Priority: optional
Section: libdevel
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 5376
Depends: imp (= 2.10.1-1), 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_2.10.1-1_amd64.deb
Size: 723516
MD5sum: 523e46016500c4f962f9c58afb970ea7
SHA1: 408e6a794a4ed294ec38b5fada4d2ced14d37d5f
SHA256: 964912c3cc91480a5d76cc5fecfe4fa7bcd2912059e7dd5bc91ae817a950e536
SHA512: 04eba89c7b578a0c6fe578dddadb7428f5857f97eebd10f1bb3b03901f180bee40c12af5df21048b7cabd0754df44d0cac2e908ce9efc5f785ea89024d79e443
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 Headers to compile against IMP.

Package: imp-python3
Architecture: amd64
Version: 2.10.1-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 64402
Depends: imp (= 2.10.1-1), python3, python3-numpy
Filename: xenial/imp-python3_2.10.1-1_amd64.deb
Size: 8758376
MD5sum: b2c7da440d58e5114075597c35b02ea2
SHA1: f39570b17c4b1b602b4c483609d02e40f668453c
SHA256: f19811addd59095d3441ebc10b4b791b94a78c75425743a88de5d5e9623fdd08
SHA512: aefbe890e2dbd2957aa42edb91a747021d8635f275a78ca6a4d38506bf7c79ec6a29ef3af1efa5bef180c10f64b0fd476e8f765e70d376bb48bc06e05e7780ed
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: 2.10.1-1
Priority: optional
Section: libs
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 413611
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_2.10.1-1_amd64.deb
Size: 46815326
MD5sum: 9ca0d6bfd00331d72618c59c704c3b9e
SHA1: 09887c7faf70fe109d3431339df8fcb5bddd2713
SHA256: 8935718cc7f5387efdd031205ed9f3fe50359cca405cc71c27ebc2222d54e68e
SHA512: 9394dffcdf2852144c2660b01d4fcb1cd47d5ef6ea29b86cf021fff03f0afa5075eb55b76ce863ab7c9659a47e71f26249ca465c57aada5eca67ce6e97fc972d
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.