Package: imp-dev Architecture: amd64 Version: 2.23.0-1 Priority: optional Section: libdevel Source: imp Maintainer: Ben Webb Installed-Size: 8198 Depends: imp (= 2.23.0-1), 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, libgsl-dev, python3-dev, libann-dev, libeigen3-dev, libcereal-dev, libprotobuf-dev Filename: jammy/imp-dev_2.23.0-1_amd64.deb Size: 1102090 MD5sum: 545a3f85bab77c8e122f33d71971448d SHA1: 8ab2f4f546135798139316e624359efe69926fd1 SHA256: c15b4829aaee95076ebc04a52083107f4ba6f421f2fbbca3d1f3248f67b01968 SHA512: 0cf2c273237a3c3b1f1912d7754e274a303d21e4ab1a56860f76e2443dd41e1c693a92d514afbffbc3a0f733ff446c6a7eeece49a14e05617162e705a12e0beb Homepage: https://integrativemodeling.org/ Description: The Integrative Modeling Platform Headers to compile against IMP. Package: imp-openmpi Architecture: amd64 Version: 2.23.0-1 Priority: optional Section: libs Source: imp Maintainer: Ben Webb Installed-Size: 7022 Depends: imp (= 2.23.0-1), libboost-filesystem1.74.0 (>= 1.74.0), libboost-program-options1.74.0 (>= 1.74.0), libc6 (>= 2.34), libgcc-s1 (>= 3.0), libgomp1 (>= 4.2.1), libopencv-core4.5d (>= 4.5.4+dfsg), libopencv-imgcodecs4.5d (>= 4.5.4+dfsg), libopenmpi3 (>= 4.1.2), libstdc++6 (>= 11), python3-mpi4py Filename: jammy/imp-openmpi_2.23.0-1_amd64.deb Size: 1171978 MD5sum: 1cb3ba43f70e14f60bc4004ea6801c61 SHA1: 0865f5c6129693cac554590d7386f2e8fc4cf131 SHA256: 24dc3b201b911bced61467157133defb2aba17385b0c1ceddf390dc4eda99c53 SHA512: 198eda6a336a46f4a769b9cf2a64e4093c17847db2430fd71e32c258e87e2f423c402d25f9fc15e1d7a5b686ff2cc35886c80e9062513ed8035a084130105fdf Homepage: https://integrativemodeling.org/ Description: The Integrative Modeling Platform IMP MPI module and dependents, for openmpi. Package: imp Architecture: amd64 Version: 2.23.0-1 Priority: optional Section: libs Maintainer: Ben Webb Installed-Size: 831008 Depends: libboost-filesystem1.74.0 (>= 1.74.0), libboost-graph1.74.0 (>= 1.74.0), libboost-iostreams1.74.0 (>= 1.74.0), libboost-program-options1.74.0 (>= 1.74.0), libboost-random1.74.0 (>= 1.74.0), libc6 (>= 2.34), libfftw3-double3 (>= 3.3.5), libgcc-s1 (>= 4.0), libgmp10 (>= 2:6.2.1+dfsg), libgomp1 (>= 4.9), libgsl27 (>= 2.7.1), libhdf5-103-1, libmpfr6 (>= 3.1.3), libopencv-core4.5d (>= 4.5.4+dfsg), libopencv-imgcodecs4.5d (>= 4.5.4+dfsg), libopencv-imgproc4.5d (>= 4.5.4+dfsg), libprotobuf23 (>= 3.12.4), libstdc++6 (>= 11), python3-numpy, python3-protobuf, python3-yaml Breaks: imp-python3 (<< 2.13.0) Replaces: imp-python3 (<< 2.13.0) Filename: jammy/imp_2.23.0-1_amd64.deb Size: 85489960 MD5sum: 11cb6be39f94a3ddea386c04be47aa35 SHA1: 029e4173c49cf67d9935ddadc292d042547000ca SHA256: 1f58bdfbedb1b0fe342329822ff492a357ff8bdbc39227056489f727b48c96c6 SHA512: afbf1452c614a7903f1b4ef2ef539357f47222440e2a0df67480936968dca92bfcb33ff34b4ae48d341e76feae9e14e43a23ca5f7f6b389aeb46c66c3818e73e 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.