Package: imp-dev Architecture: amd64 Version: 2.7.0-1 Priority: optional Section: libdevel Source: imp Maintainer: Ben Webb Installed-Size: 8578 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, libcgal-qt5-dev, libhdf5-dev, libfftw3-dev, libopencv-dev, libgsl0-dev, python-dev, libann-dev Filename: xenial/imp-dev_2.7.0-1_amd64.deb Size: 1141272 MD5sum: e97ba593e2cfc358bd539fdbd5ed273d SHA1: 1296350593331e48cb6a16e6bfcbe1223a1d48ec SHA256: cdca81eb6bf03e4366ab74c44ff057a8b91988c080928e133a933b376da1bcde SHA512: 7aef9fa94f1c14e0103409b348824f300748acfee56bf6d2127d93c93f9b708aa650c063a5e6b96ee7cf0718f8b1d8e57ef1f8438120018a54cbd2c6e7609f38 Homepage: https://integrativemodeling.org/ Description: The Integrative Modeling Platform Headers to compile against IMP. Package: imp-python3 Architecture: amd64 Version: 2.7.0-1 Priority: optional Section: libs Source: imp Maintainer: Ben Webb Installed-Size: 58887 Depends: imp (= 2.7.0-1), python3, python3-numpy Filename: xenial/imp-python3_2.7.0-1_amd64.deb Size: 8081942 MD5sum: cda3aea1483907c12876f3bcfd6a383b SHA1: 2b2a4cfeb7e50d2793c1699ffc478fc0c61a9264 SHA256: c205fb7842c794e1484c28ff7a189e2a35de541cc40d514c72b0d9620da98707 SHA512: 3b5f3f7b5326029bf1f00870aca68dcbef9d60693b8d5fc57cd58649b77e5e5f284bf828156dba98b80ed148cf1ecb399fa5bda11ed9493a403d071ecc0e8c58 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: 2.7.0-1 Priority: optional Section: libs Maintainer: Ben Webb Installed-Size: 332709 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 (>= 1:4.0), libgmp10, libgomp1 (>= 4.9), libgsl2, libhdf5-10, libmpfr4 (>= 3.1.3), libopencv-core2.4v5, libopencv-highgui2.4v5, libopencv-imgproc2.4v5, libstdc++6 (>= 5.2), python-numpy Filename: xenial/imp_2.7.0-1_amd64.deb Size: 39608854 MD5sum: b7a7fa1c594ede39fb96ffe0a044ba9c SHA1: 56b22a9e986ba78d7167f4e72977af9eaf83d7c3 SHA256: 78d0b8e781d623aaf50baf444b3269509af51213a37304aa1208f08fd24ca447 SHA512: e61516ba9e324f31c129a0409ecb44f49c5a2019edb80ec3264bfdf22bbb017583d765ef0813632acbfabfdf6811c8d8f3b0c8a237d72aee0aa152a3506a3351 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.