Package: imp-dev
Architecture: amd64
Version: 20230606.develop.5d113ecbfd-1
Priority: optional
Section: libdevel
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 6940
Depends: imp (= 20230606.develop.5d113ecbfd-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, libcereal-dev, libprotobuf-dev
Filename: bionic/imp-dev_20230606.develop.5d113ecbfd-1_amd64.deb
Size: 919688
MD5sum: 347045aa4645cd8318a4affe2b57106a
SHA1: c0e30759e26fa5f4e98efc1066750a55980b8deb
SHA256: 1afe6c4739fa5f045df495c5b4df74663c6c4f163d88602cb52fdf03269ef55d
SHA512: ec2780cd1a6973dbc8ccc30817daca1adca16279d3edd6951df964be137447afcfbb271489e14d181a083808452671ee1aa3c9d5bdb4c6d5bf500ca9b1158a41
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 Headers to compile against IMP.

Package: imp-openmpi
Architecture: amd64
Version: 20230606.develop.5d113ecbfd-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 10216
Depends: imp (= 20230606.develop.5d113ecbfd-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_20230606.develop.5d113ecbfd-1_amd64.deb
Size: 1219336
MD5sum: 2b6e35674b44919b52ca4b5eeab8df09
SHA1: d32b00d5fea16e5293e680581044f906eefb1257
SHA256: c2992ef6f28cded7fd83c4b2eba721ebb9067ffadb599c878b725eae6212b341
SHA512: cc6135e0f976c0d02e226db14316d260dec6664fb2f195fd46c58d416a36e336d15e61ea22b58ce25341ca3507b099b7151c07c3941faa43a0080645cd2215d8
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 IMP MPI module and dependents, for openmpi.

Package: imp-python2
Architecture: amd64
Version: 20230606.develop.5d113ecbfd-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 99645
Depends: imp (= 20230606.develop.5d113ecbfd-1), python-numpy, python-protobuf
Filename: bionic/imp-python2_20230606.develop.5d113ecbfd-1_amd64.deb
Size: 12593200
MD5sum: 81b73a5b55c7e48fc122219b11707d2a
SHA1: 74621f0334ec1dd021fc652d9db2580220c7bed0
SHA256: d45d0030f3464342d60fc7b8688dc64293d0f717cddb5ecc2b78b7c8e32b9e00
SHA512: c3a8b585d5a65382cbb8df788248182b9d566f4095c5da4e655acacf2b11500110c1343fe5a38d43e3da03335401b1c753952b4b28e3e5aaa7ad7c2e45e84553
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: 20230606.develop.5d113ecbfd-1
Priority: optional
Section: libs
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 444384
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), python3-numpy, python3-protobuf
Breaks: imp-python3 (<< 2.13.0)
Replaces: imp-python3 (<< 2.13.0)
Filename: bionic/imp_20230606.develop.5d113ecbfd-1_amd64.deb
Size: 48734360
MD5sum: cf234ad83ba86b52c1ff6e34c4a93ebd
SHA1: 93308a145778711d06ae91b144e5d6329d5c80f7
SHA256: 506076c4ff2267cde4591a62b8acb183f0fc70d5279546d76b3a492aa4325d3b
SHA512: 65ca3ec313929cba96da465445b7236c92db81e08d620ff75b5e1c80a4476a169f3a82653eeb7e3927f66079d5b8803e6593f8ebae50a89bc596803a2c1beae4
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.