Package: imp-dev Priority: optional Section: libdevel Installed-Size: 7845 Maintainer: Ben Webb Architecture: amd64 Source: imp Version: 2.7.0-1 Depends: imp (= 2.7.0-1), 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-serial-dev, libfftw3-dev, libopencv-dev, libgsl0-dev, python-dev, libann-dev Filename: precise/imp-dev_2.7.0-1_amd64.deb Size: 1613440 MD5sum: 0f7c0976e20be0120abf4cf63e562eab SHA1: 25e1263e20e371ea8055a5bf0a09288131ff0179 SHA256: 2db8d1dd10b5d0da1bd5260cb8daf8aec2377dbb9dd393ef1edcce972a98a29b SHA512: 0edcfdb20d96ddcedba170c2f39a284202426ebd0383fdfdb8a806b7c0e7ae47bd534be56e61a470b255b80047b7f3a250d9cc4847f8500608a57e70a5b1ce9c Description: The Integrative Modeling Platform Headers to compile against IMP. Homepage: https://integrativemodeling.org/ Package: imp-python3 Priority: optional Section: libs Installed-Size: 55854 Maintainer: Ben Webb Architecture: amd64 Source: imp Version: 2.7.0-1 Depends: imp (= 2.7.0-1), python3, python3-numpy Filename: precise/imp-python3_2.7.0-1_amd64.deb Size: 14107982 MD5sum: ffcf6163fe6daa97f6dc26b8c878fd09 SHA1: e569e3471e9ce5a74e3aec8505378901584e946d SHA256: 5cf3befd3795a50931eb3e134b19aa0ec641142726fff5b9daa553f6360b4697 SHA512: 32612b5226b95d27b285f73ea899e08f0be6ab0c71a0b8ca25493a2d26741af59f8d0c38aab65f1bceb67c78ab3ca03333702f92d0fed5bb609e870833d02575 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: 328460 Maintainer: Ben Webb Architecture: amd64 Version: 2.7.0-1 Depends: libboost-filesystem1.46.1 (>= 1.46.1-1), libboost-graph1.46.1 (>= 1.46.1-1), libboost-iostreams1.46.1 (>= 1.46.1-1), libboost-program-options1.46.1 (>= 1.46.1-1), libboost-random1.46.1 (>= 1.46.1-1), libboost-system1.46.1 (>= 1.46.1-1), libboost-thread1.46.1 (>= 1.46.1-1), libc6 (>= 2.14), libcgal8, libfftw3-3, libgcc1 (>= 1:4.1.1), libgmp10, libgomp1 (>= 4.4), libgsl0ldbl (>= 1.9), libhdf5-serial-1.8.4 | libhdf5-1.8.4, libmpfr4 (>= 3.1.0), libopencv-core2.3, libopencv-highgui2.3, libopencv-imgproc2.3, libstdc++6 (>= 4.6), python-numpy Filename: precise/imp_2.7.0-1_amd64.deb Size: 66351050 MD5sum: 2c5dbf595c40067c8e70de658e9fb1cc SHA1: 779e4e846057f11d9c114385c6eb20aa9a18bf99 SHA256: ed49b81ff5958f1e557db11f50c5a0fb8e082602907782ed2a4bf9055b4bf862 SHA512: 8e73987cc1b3657f34a6624f2db2b250c9b945d1102ca84a20bc188f56eed9f274b57ca84415dcdbb8d358eced7d68507776ffbb6f5df29c0574802b06b2af62 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/