Package: imp-dev Architecture: amd64 Version: 2.9.0-1 Priority: optional Section: libdevel Source: imp Maintainer: Ben Webb Installed-Size: 5302 Depends: imp (= 2.9.0-1), 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: xenial/imp-dev_2.9.0-1_amd64.deb Size: 717222 MD5sum: dbf6972babfbf43c278a796521b50975 SHA1: 28d7119be1ca688086f629775a220268c8c36ad2 SHA256: b5c5b6464261dc27970f13e05583e5a489831f5a4e7dfadf9b0d2e7e35e268f1 SHA512: 9d9f0957b41b94a0de53580d68a43fbc187c41f878c5ed3530b054260d644cbfa73aa1e40f143b1cb540388eb22bba295e9434aadd84dc107321ecc37f902ca7 Homepage: https://integrativemodeling.org/ Description: The Integrative Modeling Platform Headers to compile against IMP. Package: imp-python3 Architecture: amd64 Version: 2.9.0-1 Priority: optional Section: libs Source: imp Maintainer: Ben Webb Installed-Size: 62643 Depends: imp (= 2.9.0-1), python3, python3-numpy Filename: xenial/imp-python3_2.9.0-1_amd64.deb Size: 8574346 MD5sum: 4983031c9e08aaada7529375b2b7ad06 SHA1: 3c748c8d208041d5e22b708067c40b7f83fd8b49 SHA256: 4c8cb8e918a675c4b65736cd0403db92e98e18493fc7d54eb7c846ebc0d7e28f SHA512: 039d14c4889fbfed72229c98629c9efcca6a383181527387dad0fe93b12950ff659eb7bfc4f05a9398cdad75725a2b18a35540fa33e743350bce5715d32635a7 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: 2.9.0-1 Priority: optional Section: libs Maintainer: Ben Webb Installed-Size: 405188 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_2.9.0-1_amd64.deb Size: 44724356 MD5sum: c5c7ed80f7391abcaf19b90b6adaa2c0 SHA1: ec7b46e92bc0ad2b84433295d6e8942ca47d9bed SHA256: d7bcf21df24939923d8236888dde340a7a765f18954df7d456bff68c30be30fa SHA512: 58f6c1776ec40e9987508ffa271232c406f6efe443afc674f1587ac91db69316a3950b0bc5cf3a6a6e112bb3d9c2599a26b1d3ef9e204480ab1406b894c005c6 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.