Package: imp-dev Architecture: amd64 Version: 2.12.0-1 Priority: optional Section: libdevel Source: imp Maintainer: Ben Webb Installed-Size: 6915 Depends: imp (= 2.12.0-1), 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_2.12.0-1_amd64.deb Size: 931312 MD5sum: 4e1c16d0638357e5718861cf45cd1e1f SHA1: d864882346913c011dde8cad766e6021062da72a SHA256: c0660354972581f4ff285a11a9071f3b485d918fa5880110ba5e7365fb424fa2 SHA512: 5c8c3527d1c8ecd1c58fd6692be7b52d44738bcef63e561c68a7dd7ff7cdd3a124e9b380c916992be7aebac0789ac36bb582e36541bd080596e5c3de65adc2ea Homepage: https://integrativemodeling.org/ Description: The Integrative Modeling Platform Headers to compile against IMP. Package: imp-python3 Architecture: amd64 Version: 2.12.0-1 Priority: optional Section: libs Source: imp Maintainer: Ben Webb Installed-Size: 65730 Depends: imp (= 2.12.0-1), python3, python3-numpy, python3-protobuf Filename: bionic/imp-python3_2.12.0-1_amd64.deb Size: 9128500 MD5sum: 09f2e0b5049dc4d176b0fbac5d551ac2 SHA1: cb8f1bc530e527b59948a2fa102f21319f39b72f SHA256: f73f5a7d0e674414476861c589ef6c0d84373483f8b2722336e149294fe99cf0 SHA512: 09718719afdce3ae76fb8d4a275efdeed495aa7d8fe818de0ea6b4a17ac7f85ab32340eced89e2c06badef2229487bd1ad57942c6691bba74559a91fc18719a8 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: 2.12.0-1 Priority: optional Section: libs Maintainer: Ben Webb Installed-Size: 415127 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_2.12.0-1_amd64.deb Size: 45974064 MD5sum: e09b6e71e26d55df7790a2b1dbfe40d8 SHA1: fc3cfdb36759bd5bd7d24aa0fcef606c7f1e40bc SHA256: 692c3d75ef6229f42e64077314a6bdb829fa2a28e9c3191e8ba2058df73e1c54 SHA512: 03675d058d1a3edede0d804aaf41bce56b6d3d5cee67cc1cd3bfbad55ad5e907341560cfccad5667912ab3846b0b15b061d7c897890ca8917cdc14cf00ae751e 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.