Package: imp-dev Priority: optional Section: libdevel Installed-Size: 4780 Maintainer: Ben Webb Architecture: amd64 Source: imp Version: 2.11.0-1 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, libhdf5-dev, libfftw3-dev, libopencv-dev, libgsl0-dev, python-dev, libann-dev, libeigen3-dev, libprotobuf-dev Filename: trusty/imp-dev_2.11.0-1_amd64.deb Size: 723106 MD5sum: 9dd010ed9bd5e5d25b1f65596895c7b2 SHA1: d53d3352b9d1d0e05d3306301355356be7dc7390 SHA256: e60e46e58d96135737f7e872d1edf0c38cfa4e09b5dac5f9fe1895efc5e17ba8 SHA512: d6045818bc5a55f892c98af43b1e740b87fde99348d6e35048e4c35b709623a00108581657a819288ff6ccdabe1cc577ca76506826c694512c929b1d1f7718bc Description: The Integrative Modeling Platform Headers to compile against IMP. Homepage: https://integrativemodeling.org/ Package: imp-python3 Priority: optional Section: libs Installed-Size: 62653 Maintainer: Ben Webb Architecture: amd64 Source: imp Version: 2.11.0-1 Depends: imp (= 2.11.0-1), python3, python3-numpy Filename: trusty/imp-python3_2.11.0-1_amd64.deb Size: 8636320 MD5sum: a5b3e31b2fe81f1dd58ab9538e500349 SHA1: 3f40bd09190711d80d2344c4779c11348e8118ec SHA256: 739e37dce9cda86fa41907407d55b594252d1234f6cf585e717a8fc140458460 SHA512: 4d0c9ab88aa978bef8b096d34051ad2739bf6bd250635425194213c30ba83b3f3237947b14c7fee524230ee16561537861dc8d2da3527c6e83b2bd1854b1eecb Description: The Integrative Modeling Platform Wrappers for Python 3 (the base IMP package contains Python 2 wrappers). Homepage: https://integrativemodeling.org/ Package: imp Priority: optional Section: libs Installed-Size: 410214 Maintainer: Ben Webb Architecture: amd64 Version: 2.11.0-1 Depends: libboost-filesystem1.54.0, libboost-graph1.54.0, libboost-iostreams1.54.0, libboost-program-options1.54.0, libboost-random1.54.0, libboost-system1.54.0, libboost-thread1.54.0, libc6 (>= 2.14), libcgal10, libfftw3-double3, libgcc1 (>= 1:4.1.1), libgmp10, libgomp1 (>= 4.4), libgsl0ldbl (>= 1.9), libhdf5-7, libmpfr4 (>= 3.1.2), libopencv-core2.4, libopencv-highgui2.4, libopencv-imgproc2.4, libprotobuf8, libstdc++6 (>= 4.6), python-numpy, python-protobuf Filename: trusty/imp_2.11.0-1_amd64.deb Size: 46334442 MD5sum: 2f04fddaeee347eb53c437af6624f1d9 SHA1: e1e56813497946eda286aa35fa9d9852e162c198 SHA256: 301717ae24c2f399f3f80b5831acafde04ffff9b6b04a30273ce0765e88fb99e SHA512: 899074cecaa4428f7e033dcc470ed3fada39bed75b4fa8a2941ab6337dff8154610e562ac68e917e90ae05e33f03f42d1e1923fabcd1e32c44688ca5fd1a476f 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. Homepage: https://integrativemodeling.org/