Package: imp-dev Priority: optional Section: libdevel Installed-Size: 4771 Maintainer: Ben Webb Architecture: amd64 Source: imp Version: 2.10.0-1 Depends: imp (= 2.10.0-1), 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-dev, libfftw3-dev, libopencv-dev, libgsl0-dev, python-dev, libann-dev, libeigen3-dev, libprotobuf-dev Filename: trusty/imp-dev_2.10.0-1_amd64.deb Size: 721992 MD5sum: 9352e81fd9d15fbe7a5a9bbacd7c28d9 SHA1: b141140a2deafdc642c1d0440200fc1a350700bb SHA256: e5eb1b3ba82901b25280f957f8555d7452eb06a0330c1e7097f11e5d17df80ea SHA512: d4a9d85ae8300b80f72bc2ef20f20f5656fdac6be027af2998522a7448a76cfdff9f9564ce1c8077cf5ee57c2a684e68acd1a7d32691072b2485fa3751a21bf6 Description: The Integrative Modeling Platform Headers to compile against IMP. Homepage: https://integrativemodeling.org/ Package: imp-python3 Priority: optional Section: libs Installed-Size: 62596 Maintainer: Ben Webb Architecture: amd64 Source: imp Version: 2.10.0-1 Depends: imp (= 2.10.0-1), python3, python3-numpy Filename: trusty/imp-python3_2.10.0-1_amd64.deb Size: 8630458 MD5sum: 93ae53f9a73583a947842d2e2fad54cd SHA1: 7a8ebf8bddc41a235052d23dc550a6cd42f41d8e SHA256: b6e847649db22f0e003fff85b9f39a2d8505dc87ca7091ef1828fb676bcc3a1f SHA512: a3fb41c3b86ef5f38ca997152c659184e2dfe89aa82b0bc344da4f00bfc99b27279543798f91d92307b3d4881f7faafd11ffd370fe3ddcf15b39820d1b05244c 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: 409430 Maintainer: Ben Webb Architecture: amd64 Version: 2.10.0-1 Depends: libboost-filesystem1.54.0, libboost-graph1.54.0, libboost-iostreams1.54.0, libboost-program-options1.54.0, libboost-random1.54.0, libboost-system1.54.0, libboost-thread1.54.0, libc6 (>= 2.14), libcgal10, libfftw3-double3, libgcc1 (>= 1:4.1.1), libgmp10, libgomp1 (>= 4.4), libgsl0ldbl (>= 1.9), libhdf5-7, libmpfr4 (>= 3.1.2), libopencv-core2.4, libopencv-highgui2.4, libopencv-imgproc2.4, libprotobuf8, libstdc++6 (>= 4.6), python-numpy, python-protobuf Filename: trusty/imp_2.10.0-1_amd64.deb Size: 44475756 MD5sum: 0c15ad0aee99de007b3a018a17de212a SHA1: 1e2528228420c72506f93f43231ccff7fae80c6e SHA256: 070b98a50e7181c5e10e0db7d34f77bdaee3fc5ebcebc2f090397ff3bdc9c819 SHA512: 9ecfe70f07ec8497a93fc9b9e8c00795e9f3eb4201a9e37ca8640eab8ee5f5c8aee06c3c285ec4e377c48301d57056cbc21eeb52e7a48dad5576fab0a9d0a127 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/