Package: imp-dev
Architecture: amd64
Version: 2.24.0-1
Priority: optional
Section: libdevel
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 8235
Depends: imp (= 2.24.0-1), 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, libhdf5-dev, libfftw3-dev, libopencv-dev, libgsl0-dev, python3-dev, libann-dev, libeigen3-dev, libcereal-dev, libprotobuf-dev
Filename: noble/imp-dev_2.24.0-1_amd64.deb
Size: 1103542
MD5sum: 167ec23ad726287c04068ddda604e844
SHA1: 519a5832531a2aa9a8a07208728d92530c34846f
SHA256: 445b82ff9ad86708d432e9a7b6d840b9a89269e29fb346108d3903dd5f50fb7e
SHA512: 8e7ecc968d3e68051631ae03ddaf63b75ad47e030ad23468969b675690c2501f8eaff71f4bb0d772c7e8832f8e53b08fe4cbd0f6ff69e67a6c3d686aff307132
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 Headers to compile against IMP.

Package: imp-openmpi
Architecture: amd64
Version: 2.24.0-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 6799
Depends: imp (= 2.24.0-1), libboost-filesystem1.83.0 (>= 1.83.0), libboost-program-options1.83.0 (>= 1.83.0), libc6 (>= 2.38), libgcc-s1 (>= 3.0), libgomp1 (>= 4.2.1), libopencv-core406t64 (>= 4.6.0+dfsg), libopencv-imgcodecs406t64 (>= 4.6.0+dfsg), libopenmpi3t64 (>= 4.1.6), libstdc++6 (>= 13.1), python3-mpi4py
Filename: noble/imp-openmpi_2.24.0-1_amd64.deb
Size: 1131642
MD5sum: 01b986c8be8b8530e1b769241dde8edc
SHA1: bc4b6a80e63b927b806cb0f5548b1a7ac10d5135
SHA256: 1d45d4512d5bc382a51e8bdb78158c5eb3578f0e90cd919f40dd43f2f57c6ea7
SHA512: 7c7c83c727dd72bbf6156265f8f42506e7b2f4c79bb9471d86a5048808c01cae94d19b78970f350a4f3b7a9c4edbd2d071d05f6f84e59816ceec3cb113c10d52
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
 IMP MPI module and dependents, for openmpi.

Package: imp
Architecture: amd64
Version: 2.24.0-1
Priority: optional
Section: libs
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 840635
Depends: libboost-filesystem1.83.0 (>= 1.83.0), libboost-graph1.83.0 (>= 1.83.0), libboost-iostreams1.83.0 (>= 1.83.0), libboost-program-options1.83.0 (>= 1.83.0), libboost-random1.83.0 (>= 1.83.0), libc6 (>= 2.38), libfftw3-double3 (>= 3.3.10), libgcc-s1 (>= 4.0), libgmp10 (>= 2:6.3.0+dfsg), libgomp1 (>= 4.9), libgsl27 (>= 2.7.1), libhdf5-103-1t64, libmpfr6 (>= 3.1.3), libopencv-core406t64 (>= 4.6.0+dfsg), libopencv-imgcodecs406t64 (>= 4.6.0+dfsg), libopencv-imgproc406t64 (>= 4.6.0+dfsg), libprotobuf32t64 (>= 3.21.12), libstdc++6 (>= 13.1), python3-numpy, python3-protobuf, python3-yaml
Breaks: imp-python3 (<< 2.13.0)
Replaces: imp-python3 (<< 2.13.0)
Filename: noble/imp_2.24.0-1_amd64.deb
Size: 98033622
MD5sum: ae14ff2fbf6d443059abeb12cd44754b
SHA1: df422bb4e7ec309be14c09c1b73c16f41d87b18c
SHA256: a831bbdbcba6ff04c029249f96a157a0f440ae5ffb388c1a199a94641ac2306c
SHA512: 5379165af5f9da0ff059a7dd3f48b33e71b481ab4bbbfdcc26c763482d2541c9f70ea583f10a41aeb8f15c3d4ddc8400368f6d2436c2b5ca2a880f0514a03f57
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.