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: bionic/imp-dev_2.10.1-1_amd64.deb Size: 718544 MD5sum: 5245d8cdd4fa10728126a2de9321cf18 SHA1: d7104eacbca1f055551731402c01db258c456589 SHA256: a700714684fa70aa9ee1d5e8d1d51e29d5fea3c0ab65bc155fc53d9bfb80ad7d SHA512: 4b3f5677fdf172f977382984330049bac8757e88cc7129014debe96dabe6ced2eb3eb7422bfd40221a8c35e7881b2409cf94e1b8cb1c69cdd98c529020a2b6cf 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: 63938 Depends: imp (= 2.10.1-1), python3, python3-numpy, python3-protobuf Filename: bionic/imp-python3_2.10.1-1_amd64.deb Size: 8866776 MD5sum: 45f081f5c92a03fd20f5756a5e10f1a9 SHA1: 0968ddbe43d3919f1c8147d06a4653fedc8712e0 SHA256: d9c1cfaffba9ab79f995e9f29f17cf4e38da38a31cfa4ee7fc3857ab2fed8114 SHA512: 75e59657ed41674b71fa8b32b2407dcd44f871397856cfef67093ecb9aa0905ade07ab1aaf6de5ed0c0d28a4d4e80396e7bde6969483c51acdc5e2783fdbd13d 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: 413796 Depends: libboost-filesystem1.65.1, libboost-graph1.65.1, libboost-iostreams1.65.1, libboost-program-options1.65.1, libboost-random1.65.1, libboost-system1.65.1, libc6 (>= 2.27), libcgal13, libfftw3-double3 (>= 3.3.5), libgcc1 (>= 1:4.0), libgmp10, libgomp1 (>= 4.9), libgsl23, libgslcblas0, libhdf5-100, libmpfr6 (>= 3.1.3), libopencv-core3.2, libopencv-imgcodecs3.2, libopencv-imgproc3.2, libprotobuf10, libstdc++6 (>= 5.2), python-numpy, python-protobuf Filename: bionic/imp_2.10.1-1_amd64.deb Size: 46004716 MD5sum: be6d52ba42305f93419173ee95c5f390 SHA1: 260ca8062f873cfe23a57f07653e1be9f56bf63a SHA256: a489abd0bbdc9f8945ae3fafdc86e31aa1162c9e751ee1184f56418b50b8da8e SHA512: c5d21fffc73ad90cd7baeb1347fa2a04e3f30892bad96e3fe1d4de5490523b604024ab2fe7594dfc7ba301e0b42d9dcd1e897e16033dad58fcafc333765ff244 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.