Package: imp-dev Architecture: amd64 Version: 2.10.1-1 Priority: optional Section: libdevel Source: imp Maintainer: Ben Webb Installed-Size: 5376 Depends: imp (= 2.10.1-1), 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: xenial/imp-dev_2.10.1-1_amd64.deb Size: 723516 MD5sum: 523e46016500c4f962f9c58afb970ea7 SHA1: 408e6a794a4ed294ec38b5fada4d2ced14d37d5f SHA256: 964912c3cc91480a5d76cc5fecfe4fa7bcd2912059e7dd5bc91ae817a950e536 SHA512: 04eba89c7b578a0c6fe578dddadb7428f5857f97eebd10f1bb3b03901f180bee40c12af5df21048b7cabd0754df44d0cac2e908ce9efc5f785ea89024d79e443 Homepage: https://integrativemodeling.org/ Description: The Integrative Modeling Platform Headers to compile against IMP. Package: imp-python3 Architecture: amd64 Version: 2.10.1-1 Priority: optional Section: libs Source: imp Maintainer: Ben Webb Installed-Size: 64402 Depends: imp (= 2.10.1-1), python3, python3-numpy Filename: xenial/imp-python3_2.10.1-1_amd64.deb Size: 8758376 MD5sum: b2c7da440d58e5114075597c35b02ea2 SHA1: f39570b17c4b1b602b4c483609d02e40f668453c SHA256: f19811addd59095d3441ebc10b4b791b94a78c75425743a88de5d5e9623fdd08 SHA512: aefbe890e2dbd2957aa42edb91a747021d8635f275a78ca6a4d38506bf7c79ec6a29ef3af1efa5bef180c10f64b0fd476e8f765e70d376bb48bc06e05e7780ed 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: 2.10.1-1 Priority: optional Section: libs Maintainer: Ben Webb Installed-Size: 413611 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), python-numpy, python-protobuf Filename: xenial/imp_2.10.1-1_amd64.deb Size: 46815326 MD5sum: 9ca0d6bfd00331d72618c59c704c3b9e SHA1: 09887c7faf70fe109d3431339df8fcb5bddd2713 SHA256: 8935718cc7f5387efdd031205ed9f3fe50359cca405cc71c27ebc2222d54e68e SHA512: 9394dffcdf2852144c2660b01d4fcb1cd47d5ef6ea29b86cf021fff03f0afa5075eb55b76ce863ab7c9659a47e71f26249ca465c57aada5eca67ce6e97fc972d 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.