Package: imp-dev
Architecture: amd64
Version: 2.12.0-1
Priority: optional
Section: libdevel
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 6915
Depends: imp (= 2.12.0-1), 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_2.12.0-1_amd64.deb
Size: 942136
MD5sum: 2914b868f4092366ad500525b2989066
SHA1: 0fe8ca6af6723bbf00a4072973a2cf93a5bcfaa8
SHA256: ec88608692d584d7066d6cda40ad5c8fbd7f753031c52d3d16aaea5c3bd12eef
SHA512: f0c94579575468550e33ee4f6f3e576a72d99168bdd65567bcf79dd31163cf6805a4df53d3d476aff247a8589c0cdfe8d85222175845bb8ce988ed23270fa773
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 Headers to compile against IMP.

Package: imp-python3
Architecture: amd64
Version: 2.12.0-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 66459
Depends: imp (= 2.12.0-1), python3, python3-numpy
Filename: xenial/imp-python3_2.12.0-1_amd64.deb
Size: 9067488
MD5sum: 3c89a1d262eeb3740628ddc2e2c21c8f
SHA1: 732e5e420012a96fa5acd8274cf87bf56eee5017
SHA256: ece50a98efcab15d13fe576255e48fb7fa411d650ab8cf71974b6fc53d9d727d
SHA512: 67d585bac08dc633da1aacb7e5af2bf95ebc44311576ef1fadb81c8b0dd26ea3a3dffbe826ca8ac56844fccf67eaecec1d60b60a336379cc557368da73ef337c
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: 2.12.0-1
Priority: optional
Section: libs
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 415300
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_2.12.0-1_amd64.deb
Size: 47224372
MD5sum: 06d230c9cde174aa21c736759bb06644
SHA1: d0db51e403e3049f8423ec0e96a3a46ed474ba90
SHA256: 2c1debf4567c37221aa92aa6f76edffe797b6b55c10c115a3a04b142fe5ccb8b
SHA512: f6586474b2f4a8e857cf45c8ae7548d08b36551ce8fa730749ff1279f6b9036fafe2b0f9d7cf4375cc8b47ddcd4c30d53b41889f73880d4ccfa310679236fde2
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.