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: xenial/imp-dev_2.9.0-1_amd64.deb
Size: 717222
MD5sum: dbf6972babfbf43c278a796521b50975
SHA1: 28d7119be1ca688086f629775a220268c8c36ad2
SHA256: b5c5b6464261dc27970f13e05583e5a489831f5a4e7dfadf9b0d2e7e35e268f1
SHA512: 9d9f0957b41b94a0de53580d68a43fbc187c41f878c5ed3530b054260d644cbfa73aa1e40f143b1cb540388eb22bba295e9434aadd84dc107321ecc37f902ca7
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: 62643
Depends: imp (= 2.9.0-1), python3, python3-numpy
Filename: xenial/imp-python3_2.9.0-1_amd64.deb
Size: 8574346
MD5sum: 4983031c9e08aaada7529375b2b7ad06
SHA1: 3c748c8d208041d5e22b708067c40b7f83fd8b49
SHA256: 4c8cb8e918a675c4b65736cd0403db92e98e18493fc7d54eb7c846ebc0d7e28f
SHA512: 039d14c4889fbfed72229c98629c9efcca6a383181527387dad0fe93b12950ff659eb7bfc4f05a9398cdad75725a2b18a35540fa33e743350bce5715d32635a7
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: 405188
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_2.9.0-1_amd64.deb
Size: 44724356
MD5sum: c5c7ed80f7391abcaf19b90b6adaa2c0
SHA1: ec7b46e92bc0ad2b84433295d6e8942ca47d9bed
SHA256: d7bcf21df24939923d8236888dde340a7a765f18954df7d456bff68c30be30fa
SHA512: 58f6c1776ec40e9987508ffa271232c406f6efe443afc674f1587ac91db69316a3950b0bc5cf3a6a6e112bb3d9c2599a26b1d3ef9e204480ab1406b894c005c6
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.