Package: imp-dev Architecture: amd64 Version: 2.10.0-1 Priority: optional Section: libdevel Source: imp Maintainer: Ben Webb Installed-Size: 5375 Depends: imp (= 2.10.0-1), 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: bionic/imp-dev_2.10.0-1_amd64.deb Size: 718596 MD5sum: 0e83c6b874ebab20ce14040578e40d93 SHA1: 4a3d49619b7fee9c6440bfa803c4c224569d6280 SHA256: af415f655ff3c32ea5640d9b6304b4cdb815de99d9dc284a36c19ff581f3f256 SHA512: 4286a1e85af1c3e6274c854e246d0fe60bf3255bb160282df2884c1d8f45b467e6e988e23d1ef8892a160955a3d2a6f9780694d9295303473576e53136a746c3 Homepage: https://integrativemodeling.org/ Description: The Integrative Modeling Platform Headers to compile against IMP. Package: imp-python3 Architecture: amd64 Version: 2.10.0-1 Priority: optional Section: libs Source: imp Maintainer: Ben Webb Installed-Size: 63938 Depends: imp (= 2.10.0-1), python3, python3-numpy, python3-protobuf Filename: bionic/imp-python3_2.10.0-1_amd64.deb Size: 8855444 MD5sum: 9308d5c99c10300bb9b0de50f68883f4 SHA1: 96c839a7b65de3860919e5f5bf52c6f9a16c2ec9 SHA256: e0817af5356b640114a714ca7f30f98f93ac30624e021974cdf48d601822ceb5 SHA512: 09449b3e1277af11ad93f13c85512124faaf2134459fa7957f294411e560db731ab1ab33090ed2211a69a4dd17449e6f099ea8f3e524cb9951050e0ffec63db4 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: 2.10.0-1 Priority: optional Section: libs Maintainer: Ben Webb Installed-Size: 413795 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), python-numpy, python-protobuf Filename: bionic/imp_2.10.0-1_amd64.deb Size: 46072636 MD5sum: 4e2e90a0d7b2a4a043aed4facd659800 SHA1: d98dc0abc68417991f7aaf3b99afdfd402e0ddcf SHA256: 4e5c638f5d71e2cbac54fb78494a09dd7d26a406a8c78dd91ccb13665134f118 SHA512: 1d37641e8474bc91e6d0803ef5fece21e083d8e14e07fe77867553008bddc317db483f7ec75e4733b3a1216f4d2fc07f506095e13b5a779aae99ae19528ef0b6 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.