Package: imp-dev Priority: optional Section: libdevel Installed-Size: 4780 Maintainer: Ben Webb Architecture: amd64 Source: imp Version: 2.11.1-1 Depends: imp (= 2.11.1-1), 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, libhdf5-dev, libfftw3-dev, libopencv-dev, libgsl0-dev, python-dev, libann-dev, libeigen3-dev, libprotobuf-dev Filename: trusty/imp-dev_2.11.1-1_amd64.deb Size: 723000 MD5sum: 112c6a806106eb7979ceaa0710c9e0a6 SHA1: 6e8c6ef09e2fdb1b79a0fe704f843ec3179fa912 SHA256: 9e138867e53738e783e88832c65bf9d543d7c9da9287dae25790509e1aff3603 SHA512: 8b540b5473a839a7ae9198b4355ea97aed9973e00d509f424a1d3a40e845acb64ca14b928b81876e9989394b2f3044abfda03732f135b196721824949281607d Description: The Integrative Modeling Platform Headers to compile against IMP. Homepage: https://integrativemodeling.org/ Package: imp-python3 Priority: optional Section: libs Installed-Size: 62653 Maintainer: Ben Webb Architecture: amd64 Source: imp Version: 2.11.1-1 Depends: imp (= 2.11.1-1), python3, python3-numpy Filename: trusty/imp-python3_2.11.1-1_amd64.deb Size: 8646238 MD5sum: 537d8be96dc3c0034a023921b3c402ce SHA1: d8bfdcddc33d426bf80f5e84c1ec41b0478ee19f SHA256: 2b878b0134833da9c9cfa0df439ae53a49e51ac35352fb2dd5f06b6ea38bb6bc SHA512: 0e06fec06b7f7bf7743331708d0f5a52ac308f79d1fb0fec68765cf06cc2c68d50570ab67e737ac4871927be04f0b8138272558efc4226efb4e2794e07a02757 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: 410223 Maintainer: Ben Webb Architecture: amd64 Version: 2.11.1-1 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_2.11.1-1_amd64.deb Size: 46443510 MD5sum: a96bfee0526946f65dd995e93d7bafc5 SHA1: f580221d420d0cb4127d70b15d130eee00bfaaa9 SHA256: b3beffd7716c1e1872f24a9ef47ee7436156fed5ddde24533480b0495f8ac8d2 SHA512: 584c8022e15cfdf718b90a483ef8934bb0c15cca9a11d8cf9e95e4a4c32b3670b1b153c8286af9cb3610a5601c47cade812a62a9024a5bc76bad2f8450800cf7 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/