Package: imp-dev
Architecture: amd64
Version: 20230717.develop.ea2b030d03-1
Priority: optional
Section: libdevel
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 6952
Depends: imp (= 20230717.develop.ea2b030d03-1), 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_20230717.develop.ea2b030d03-1_amd64.deb
Size: 920228
MD5sum: 38d87cfb25ac49602c9ec46fb7114a34
SHA1: 435e4e7efd34cea6a662bf71367bc47ef9e5bd76
SHA256: 9f9f92137164407d42207d189686a8216790679381f609acad50525b81cca43e
SHA512: 16b74a443111cbd27feb567432da908fac925c05f10a14256d56e028d111326105c85b18a1223b3e340bad89042075aaa8bbfc59795b5b306823ec2136af4bae
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
Headers to compile against IMP.
Package: imp-openmpi
Architecture: amd64
Version: 20230717.develop.ea2b030d03-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 11249
Depends: imp (= 20230717.develop.ea2b030d03-1), 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_20230717.develop.ea2b030d03-1_amd64.deb
Size: 1318688
MD5sum: 290f80fdaf28999abf974628a49365b5
SHA1: 0dda81610cffef9e0da7b29172507ff07d68d0ac
SHA256: ded6d1cf644ed160c6a6e42650ed83d4b7bc5accc2ee56f2f0e37ecc8ea21007
SHA512: a93b9ef25c9e088d91afdf98ca4cf175cbf207811b05de679b24dd683d7a7b547c0e7852b62dd74fdffdbd0753e6d0b19e083cfadf5cf5eb11c4711dec942ef8
Homepage: https://integrativemodeling.org/
Description: The Integrative Modeling Platform
IMP MPI module and dependents, for openmpi.
Package: imp-python2
Architecture: amd64
Version: 20230717.develop.ea2b030d03-1
Priority: optional
Section: libs
Source: imp
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 104434
Depends: imp (= 20230717.develop.ea2b030d03-1), python-numpy, python-protobuf
Filename: bionic/imp-python2_20230717.develop.ea2b030d03-1_amd64.deb
Size: 12983752
MD5sum: 06e886bb0c062003782f210ea3f98f53
SHA1: 2c15064a77e724e24a2453646820ed4715ec7857
SHA256: 54e117647a043ef6d9d3081347c6ca82811d2189630e5a9f822b87329426c7fa
SHA512: b518222f0e335eb37bbf947ed301ed9d3e8c9e547b1d522b78ec5d791f4ccf58b15acbab5af7e4c0531e5bd74ed0deb9e55bd1e3174d085ce0fbc64c8041b898
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: 20230717.develop.ea2b030d03-1
Priority: optional
Section: libs
Maintainer: Ben Webb <ben@salilab.org>
Installed-Size: 449719
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_20230717.develop.ea2b030d03-1_amd64.deb
Size: 49428924
MD5sum: 0c30ace9673f49cf4a8cb6b802baa2aa
SHA1: f3f190722726fb33f9bbace7c07c65a72a39ff5c
SHA256: 9ed7f487f54a2b404a9cc8398e257b86c3000b40d584f2dedd7f6c0361f7402e
SHA512: 43814e89b8f23c06fef8272f5ca57e0c6a053fa06e9a519f381fc1e6913d274d462d228485f8833ca29379b9b23b84034c03cd0334832782855b12ee89df074b
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.