Package: imp-dev Architecture: amd64 Version: 2.12.0-1 Priority: optional Section: libdevel Source: imp Maintainer: Ben Webb Installed-Size: 6915 Depends: imp (= 2.12.0-1), 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: xenial/imp-dev_2.12.0-1_amd64.deb Size: 942136 MD5sum: 2914b868f4092366ad500525b2989066 SHA1: 0fe8ca6af6723bbf00a4072973a2cf93a5bcfaa8 SHA256: ec88608692d584d7066d6cda40ad5c8fbd7f753031c52d3d16aaea5c3bd12eef SHA512: f0c94579575468550e33ee4f6f3e576a72d99168bdd65567bcf79dd31163cf6805a4df53d3d476aff247a8589c0cdfe8d85222175845bb8ce988ed23270fa773 Homepage: https://integrativemodeling.org/ Description: The Integrative Modeling Platform Headers to compile against IMP. Package: imp-python3 Architecture: amd64 Version: 2.12.0-1 Priority: optional Section: libs Source: imp Maintainer: Ben Webb Installed-Size: 66459 Depends: imp (= 2.12.0-1), python3, python3-numpy Filename: xenial/imp-python3_2.12.0-1_amd64.deb Size: 9067488 MD5sum: 3c89a1d262eeb3740628ddc2e2c21c8f SHA1: 732e5e420012a96fa5acd8274cf87bf56eee5017 SHA256: ece50a98efcab15d13fe576255e48fb7fa411d650ab8cf71974b6fc53d9d727d SHA512: 67d585bac08dc633da1aacb7e5af2bf95ebc44311576ef1fadb81c8b0dd26ea3a3dffbe826ca8ac56844fccf67eaecec1d60b60a336379cc557368da73ef337c 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: 2.12.0-1 Priority: optional Section: libs Maintainer: Ben Webb Installed-Size: 415300 Depends: libboost-filesystem1.58.0, libboost-graph1.58.0, libboost-iostreams1.58.0, libboost-program-options1.58.0, libboost-random1.58.0, libboost-system1.58.0, libboost-thread1.58.0, libc6 (>= 2.14), libcgal11v5, libfftw3-double3, libgcc1 (>= 1:3.4), libgmp10, libgomp1 (>= 4.9), libgsl2, libhdf5-10, libmpfr4 (>= 3.1.3), libopencv-core2.4v5, libopencv-highgui2.4v5, libopencv-imgproc2.4v5, libprotobuf9v5, libstdc++6 (>= 5.2), python-numpy, python-protobuf Filename: xenial/imp_2.12.0-1_amd64.deb Size: 47224372 MD5sum: 06d230c9cde174aa21c736759bb06644 SHA1: d0db51e403e3049f8423ec0e96a3a46ed474ba90 SHA256: 2c1debf4567c37221aa92aa6f76edffe797b6b55c10c115a3a04b142fe5ccb8b SHA512: f6586474b2f4a8e857cf45c8ae7548d08b36551ce8fa730749ff1279f6b9036fafe2b0f9d7cf4375cc8b47ddcd4c30d53b41889f73880d4ccfa310679236fde2 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.