Package: imp-dev Architecture: amd64 Version: 2.11.0-1 Priority: optional Section: libdevel Source: imp Maintainer: Ben Webb Installed-Size: 5383 Depends: imp (= 2.11.0-1), 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_2.11.0-1_amd64.deb Size: 719596 MD5sum: aab99427d54dff4050fee3a93f3cb798 SHA1: e3e897be1b5c7ecc484977f9aac8b44b30949d7e SHA256: 7807650654f24c44968664e08269400a59ddc38639fc1c6d0db5433b4b850f67 SHA512: e7d0b1579472ce899132cf831d2a0e216af2b5c1027035a006210794e10c8700cfde1548a05c183400da102574e21dd65b948b3dfe18522376632393722d26d8 Homepage: https://integrativemodeling.org/ Description: The Integrative Modeling Platform Headers to compile against IMP. Package: imp-python3 Architecture: amd64 Version: 2.11.0-1 Priority: optional Section: libs Source: imp Maintainer: Ben Webb Installed-Size: 63941 Depends: imp (= 2.11.0-1), python3, python3-numpy, python3-protobuf Filename: bionic/imp-python3_2.11.0-1_amd64.deb Size: 8870412 MD5sum: e32e4209d89f6a4f47421797798f12f8 SHA1: 5f9290daa9239b4935a4433b60d1a39abe2a64a0 SHA256: 13ddcdc9084b5115db2a4e75083245049fb38d6bb14dde5334b4bb9b44a3bb5b SHA512: 814b6cc027dca017141b552fa7dd64af6f610f0eced5571f98ae4039678763cd1d11aee9f9472b325955ac8e6309da6e24378eac9e4eed113023bbc8a8c8dba0 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: 2.11.0-1 Priority: optional Section: libs Maintainer: Ben Webb Installed-Size: 414503 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_2.11.0-1_amd64.deb Size: 46053544 MD5sum: d9f251ec86fa54a2b17ad7d65801fe0c SHA1: b8e2b9c850ab8083f629a44c258042cc5f3549d0 SHA256: 62075bf9d9653301a652617343cde3dac1deabd69a1a02f88a958c87cba66998 SHA512: da1d0920d754566dd0cb47d932dcd035447650b1431b48526b4f680ecabc861457332db4a1632c5f237d01d33a354276e4069dc2e89b031988d3e3b6bf1c0abb 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.