Package: imp-openmpi Architecture: amd64 Version: 20210825.develop.aeee47647b-1 Priority: optional Section: libs Source: imp Maintainer: Ben Webb Installed-Size: 4995 Depends: imp (= 20210825.develop.aeee47647b-1), libboost-filesystem1.58.0, libboost-program-options1.58.0, libboost-system1.58.0, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libgomp1 (>= 4.2.1), libopencv-core2.4v5, libopencv-highgui2.4v5, libopenmpi1.10, libstdc++6 (>= 5.2) Filename: xenial/imp-openmpi_20210825.develop.aeee47647b-1_amd64.deb Size: 835900 MD5sum: 48ebd2971b5c28c32c2ebe1d34adba30 SHA1: 0a2e16bcc886ac0d6a963340054482de14c9de7c SHA256: 0ef429bc1f5582a913bb19f5c77aa3718369c77381290fcae8d8c527eaf5f67a SHA512: c013139af71fa726de72cf238baad3c30fdb6865494f9b1ff7c9157a788b68f922e73c3860c83496d5e5357707a3fb3b71628d7deaeb55a455b88b13dc478ca1 Homepage: https://integrativemodeling.org/ Description: The Integrative Modeling Platform IMP MPI module and dependents, for openmpi. Package: imp-python2 Architecture: amd64 Version: 20210825.develop.aeee47647b-1 Priority: optional Section: libs Source: imp Maintainer: Ben Webb Installed-Size: 67469 Depends: imp (= 20210825.develop.aeee47647b-1), python-numpy, python-protobuf Filename: xenial/imp-python2_20210825.develop.aeee47647b-1_amd64.deb Size: 9447804 MD5sum: 70d66bd48ad61bead5497ae6b2226e7a SHA1: e9f2c58ecfad91a0703937c4a5a1f6b87eae186c SHA256: 9e69d6fc1132f5cccfe7471933156ba13d631c12729bebc789c55223c91761bc SHA512: 6a8479b9fa4304778c225ee040e620264d8ef89539987d4eef99b21f91f42305a6f6951bb36a69be1c8946b0bb99e8df6dbd7eabcc15d03efe5d25ecb687607d Homepage: https://integrativemodeling.org/ Description: The Integrative Modeling Platform Wrappers for Python 2 (the base IMP package contains Python 3 wrappers). Package: imp-dev Architecture: amd64 Version: 20210825.develop.aeee47647b-1 Priority: optional Section: libdevel Source: imp Maintainer: Ben Webb Installed-Size: 6820 Depends: imp (= 20210825.develop.aeee47647b-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, python3-dev, libann-dev, libeigen3-dev, libprotobuf-dev Filename: xenial/imp-dev_20210825.develop.aeee47647b-1_amd64.deb Size: 919512 MD5sum: aefc65b4e521ca073ba4a029ec215fae SHA1: 632aa2b33913bc62fe8c19eefc25e2452cefba9f SHA256: 3d15e3c2b4c338135271aeda6bdee5573d5c07b55c9f27ef8707c1d97901b9f0 SHA512: 3bbbcf79a11635a0ee8624bcdcaebe02efbcd132699bc82374337cee38c61386c32d390d42ef8304d4deb85f7642cb088ae0c376fb454a46b4fc606edf266b86 Homepage: https://integrativemodeling.org/ Description: The Integrative Modeling Platform Headers to compile against IMP. Package: imp Architecture: amd64 Version: 20210825.develop.aeee47647b-1 Priority: optional Section: libs Maintainer: Ben Webb Installed-Size: 416688 Depends: libboost-filesystem1.58.0, libboost-graph1.58.0, libboost-iostreams1.58.0, libboost-program-options1.58.0, libboost-random1.58.0, libboost-system1.58.0, libboost-thread1.58.0, libc6 (>= 2.14), libcgal11v5, libfftw3-double3, libgcc1 (>= 1:3.4), libgmp10, libgomp1 (>= 4.9), libgsl2, libhdf5-10, libmpfr4 (>= 3.1.3), libopencv-core2.4v5, libopencv-highgui2.4v5, libopencv-imgproc2.4v5, libprotobuf9v5, libstdc++6 (>= 5.2), python3-numpy Breaks: imp-python3 (<< 2.13.0) Replaces: imp-python3 (<< 2.13.0) Filename: xenial/imp_20210825.develop.aeee47647b-1_amd64.deb Size: 47439066 MD5sum: 1a6f234ca93eea286686ec217756d928 SHA1: c56f8b89f3ce7e914fb56614ad33d90224c98ec7 SHA256: fe7298111d4e0808d80becd653e5c6301cd6dd5d6831e2538dae06992588c817 SHA512: 087dee8d405d3be8ef9552105ea933f7e7dbee8af956c7384e680ca1dc4c2be002c0aac562d2bf73f482184aef073d52036de666f1153e89aa6651dd6b75246d 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.