Package: imp-dev Architecture: amd64 Version: 2.22.0-1 Priority: optional Section: libdevel Source: imp Maintainer: Ben Webb Installed-Size: 8114 Depends: imp (= 2.22.0-1), 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, python3-dev, libann-dev, libeigen3-dev, libcereal-dev, libprotobuf-dev Filename: focal/imp-dev_2.22.0-1_amd64.deb Size: 1069044 MD5sum: e08030d10a7c0b33b9fe65c2bf6f2441 SHA1: c4a839039377142058e7d536fbfc5fe009668fda SHA256: 689f670b4593166964521be5e5dd372d701b5db198e1e2670f079cac93d9a06d SHA512: 9888f60089046a1cd01f6e7856fb7a7dd71db39352690d111aa45c6b9a33140ec2c2946eadd95cfc14d9716b87f70eb30a20d22aa3d5ff8b1186a1967258b044 Homepage: https://integrativemodeling.org/ Description: The Integrative Modeling Platform Headers to compile against IMP. Package: imp-openmpi Architecture: amd64 Version: 2.22.0-1 Priority: optional Section: libs Source: imp Maintainer: Ben Webb Installed-Size: 12324 Depends: imp (= 2.22.0-1), libboost-filesystem1.71.0, libboost-program-options1.71.0, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libgomp1 (>= 4.2.1), libopencv-core4.2 (>= 4.2.0+dfsg), libopencv-imgcodecs4.2 (>= 4.2.0+dfsg), libopenmpi3 (>= 4.0.3), libstdc++6 (>= 9), python3-mpi4py Filename: focal/imp-openmpi_2.22.0-1_amd64.deb Size: 1453672 MD5sum: 5dcc0e53cf31ee13e52e5053aea63f89 SHA1: f061176b3bd0277e833b2e99f5d12d98ab3a6e56 SHA256: ece712e501de01ef40ae269aa14d24fd6d6b3d177e778c5e2a10f8186968186a SHA512: c09cf4dbb51b0ea5a6f320e129a9bc3e0b5ecadcf4ad677e17c02be1552627863ee36ec336ace1814d416ce8b1bca01b95cd278aa858dd2d1edb94757967a0fe Homepage: https://integrativemodeling.org/ Description: The Integrative Modeling Platform IMP MPI module and dependents, for openmpi. Package: imp Architecture: amd64 Version: 2.22.0-1 Priority: optional Section: libs Maintainer: Ben Webb Installed-Size: 832518 Depends: libboost-filesystem1.71.0, libboost-graph1.71.0, libboost-iostreams1.71.0, libboost-program-options1.71.0, libboost-random1.71.0, libc6 (>= 2.29), libfftw3-double3 (>= 3.3.5), libgcc-s1 (>= 4.0), libgmp10, libgomp1 (>= 4.9), libgsl23 (>= 2.5), libhdf5-103, libmpfr6 (>= 3.1.3), libopencv-core4.2 (>= 4.2.0+dfsg), libopencv-imgcodecs4.2 (>= 4.2.0+dfsg), libopencv-imgproc4.2 (>= 4.2.0+dfsg), libprotobuf17, libstdc++6 (>= 9), python3-numpy, python3-protobuf, python3-yaml Breaks: imp-python3 (<< 2.13.0) Replaces: imp-python3 (<< 2.13.0) Filename: focal/imp_2.22.0-1_amd64.deb Size: 80278560 MD5sum: 1a725e937e662aa3ea7b1be83b9e22a5 SHA1: f5081b5334e9d845fe2c4fd822b6a4cd739034c1 SHA256: 1d334fa9077598d1a278df4712b4f59087208fc32c99a4f53d5418809c4bbf9e SHA512: bb3c4e45d56d2ee5bda78cde42cc90f3126fb632479d38002fd5978114f46a4f11dbc107527455e9ef51dde11796c46c37ce19cb4883d0d6a78f2c4cc3c969bc 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.