Source:molecuilder Section: science Priority: optional Maintainer: Frederik Heber Build-Depends: debhelper (>=9), cdbs, autoconf, automake (>=1.11), pkg-config, gfortran, libgpg-error0, libboost-dev (>=1.46), libboost-python-dev (>=1.46), libboost-program-options-dev (>=1.46), libboost-serialization-dev (>=1.46), libboost-graph-dev (>=1.46), libboost-system-dev (>=1.46), libboost-filesystem-dev (>=1.46), libboost-iostreams-dev (>=1.46), libboost-python-dev (>=1.46), python (>=2.7), python-dev (>=2.7), python-numpy, libgsl0-dev, liblapack-dev (>= 3.3.1), units, libcppunit-dev (>=1.12), libqt4-dev (>=4.8.5), libqt4-3d-dev (>=1.0), libqwt5-qt4-dev (>=5.2.2), doxygen (>=1.7.6), graphviz (>= 2.26.3) Build-Conflicts: autoconf2.13, automake1.4 Standards-Version: 3.9.3 Homepage: https://www.molecuilder.de/ Package: molecuilder Architecture: any Depends: ${shlibs:Depends}, ${misc:Depends} Suggests: mpqc, psi3 Description: creates, alters and prepares molecular systems for simulations MoleCuilder is a tool for preparing molecular systems for molecular dynamics simulations. You add, modify, and manipulate atoms and molecules. Empirical potentials parametrizations can be calculated via an efficient fragmentation scheme from ab-initio calculations. Package: molecuilder-dbg Architecture: any Section: debug Priority: extra Depends: molecuilder (= ${binary:Version}), ${misc:Depends} Description: debugging symbols for molecuilder MoleCuilder is a tool for preparing molecular systems for molecular dynamics simulations. You add, modify, and manipulate atoms and molecules. Empirical potentials parametrizations can be calculated via an efficient fragmentation scheme from ab-initio calculations. . This package contains the debugging symbols for molecuilder. Package: molecuilder-dev Architecture: any Priority: extra Depends: molecuilder (= ${binary:Version}), ${misc:Depends} Description: headers for molecuilder MoleCuilder is a tool for preparing molecular systems for molecular dynamics simulations. You add, modify, and manipulate atoms and molecules. Empirical potentials parametrizations can be calculated via an efficient fragmentation scheme from ab-initio calculations. . This package contains everything to compile against molecuilder.