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: bionic/imp-dev_2.9.0-1_amd64.deb Size: 712204 MD5sum: eca0e034ed74e4a3787e2f5f978b368c SHA1: 4d209640bc59d711b3133edf40c4d638d16b6ba0 SHA256: f995a7786826f046bedc5cd66a386851f8e8c1eccb19607d6758268c8359cb72 SHA512: 540db06367d6a84709e52305547879db889809dbd49d02f0a359aca5825c2bd9e63631245ddaf0543f13ae629dbeefff304fd4794ee7c5a565aec4824a02a2dd 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: 62264 Depends: imp (= 2.9.0-1), python3, python3-numpy, python3-protobuf Filename: bionic/imp-python3_2.9.0-1_amd64.deb Size: 8697524 MD5sum: 34683f5a3ae76be644b66c9226e7ecda SHA1: ad9b80f138c6a1216fc7e68fb6ac5248e2803fc6 SHA256: 5d9648d171e630a9068be41b5ea4215121b1e70b86a7a410fed9f6f7c5e596b0 SHA512: 12bbd8457d8ec4b6796a1fc70ae549aad20349604571fe80af4235e5c8203d5fcb0df51cbee587faaf2135c93bd410120a6f78f8fb14fb84217e6e7f738b7016 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: 405458 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_2.9.0-1_amd64.deb Size: 45204624 MD5sum: 20c33b5dbe106967fbc6384185d5bbfd SHA1: dbdae8f6dfc96c4430a229c47ad94e560bdd1c3e SHA256: d862ef840f52e31c5ec2fc70476338c2f961a87cc19282c2232c154f42c0c7aa SHA512: c10f74fb647b99a0bcfbb455b86b44c4b2e722f504b6d4397c9a0ff99be645fa872c21968f6343f6393b3be17e1904cb7d24237fb6f45bf124de550708d0de29 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.