Package: imp-dev Architecture: amd64 Version: 2.11.1-1 Priority: optional Section: libdevel Source: imp Maintainer: Ben Webb Installed-Size: 5383 Depends: imp (= 2.11.1-1), 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_2.11.1-1_amd64.deb Size: 719604 MD5sum: 58b05f98d522bcdd89045ed124bccd70 SHA1: 9a74dd96aff6ed4ed6565b09ce6244dc1cab7ecd SHA256: 15aa1475fac19cff43939705a0ef129aa8e755c729b25277ec922e4a87025062 SHA512: 737fdeb65075171b5c46f10705513898b1b109848df2f43fa2036d990574c188742c2d5feb02f2aa8205c09bb4c5aa3c8290120bc0ba6188ecb53b596fc3ddac Homepage: https://integrativemodeling.org/ Description: The Integrative Modeling Platform Headers to compile against IMP. Package: imp-python3 Architecture: amd64 Version: 2.11.1-1 Priority: optional Section: libs Source: imp Maintainer: Ben Webb Installed-Size: 63945 Depends: imp (= 2.11.1-1), python3, python3-numpy, python3-protobuf Filename: bionic/imp-python3_2.11.1-1_amd64.deb Size: 8864840 MD5sum: 165ab18ce89e1088fed242eea1c78b1c SHA1: b99e9c099d6ae3f0c57a3352699739b93de4bae4 SHA256: 2483bf48b238e7e1df621005b11a9a1adfc702b4192a46fc7c12afd5f6b8b828 SHA512: 9685b170f9c00fcdbd076824dcf7760ce0000cc1c12fb73cb504bd22a405a21906946c79f5e8bb78c53f0126414b32ec56faa72a88e7cc6af2a582314778adf5 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: 2.11.1-1 Priority: optional Section: libs Maintainer: Ben Webb Installed-Size: 414516 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_2.11.1-1_amd64.deb Size: 46083724 MD5sum: 3c6669ce50de75853284776b6eb0dd07 SHA1: 0430fe5a33527aa97c0ba68cb34484f751d5ab12 SHA256: 521c43534b54bbb9ceab01acbc8ba3f327760829f196ccdde049d00ce6f8c160 SHA512: c387d1400ef73734179e3243225d38e7383cbc6fdbf67730adad7a03af62f35fb40b42f6b1c58fe15acf9239aff1290dfc3c99fad146fa2832a13e876595e0f0 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.