./wip/py-mmLib, Python Macromolecular Library

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Branch: CURRENT, Version: 1.2.0, Package name: py27-mmlib-1.2.0, Maintainer: jihbed.research

The Python Macromolecular Library (mmLib) is a software toolkit and library of
routines for the analysis and manipulation of macromolecular structural models,
implemented in the Python programming language. It is accessed via a layered,
object-oriented application programming interface, and provides a range ofuseful
software components for parsing mmCIF, and PDB files, a library of atomic
elements and monomers, an object-oriented data structure describing biological
macromolecules, and an OpenGL molecular viewer. The mmLib data model is designed
to provide easy access to the various levels of detail needed to implement
high-level application programs for macromolecular crystallography, NMR,
modeling, and visualization. This includes specialized classes for proteins, DNA
amino acids, and nucleic acids. Also included is a extensive monomer library,
element library, and specialized classes for performing unit cell calculations
combined with a full space group library.


Required to run:
[lang/g95] [lang/python27]

Required to build:
[pkgtools/cwrappers]

Master sites:

SHA1: 8d1e8380f707eb0d4acde0cd53cdcd72bdc503f1
RMD160: f91c23c95df5cc6e430f6533ab9b69ecbcf85a88
Filesize: 11469.409 KB

Version history: (Expand)


CVS history: (Expand)


   2012-12-15 09:27:24 by Aleksej Saushev | Files touched by this commit (7)
Log message:
Stop setting PKG_DESTDIR_SUPPORT to default value.

   2012-11-09 19:30:35 by Kamel Derouiche | Files touched by this commit (4)
Log message:
Import py27-mmlib-1.2.0 as wip/py-mmLib.

The Python Macromolecular Library (mmLib) is a software toolkit and library of
routines for the analysis and manipulation of macromolecular structural models,
implemented in the Python programming language. It is accessed via a layered,
object-oriented application programming interface, and provides a range ofuseful
software components for parsing mmCIF, and PDB files, a library of atomic
elements and monomers, an object-oriented data structure describing biological
macromolecules, and an OpenGL molecular viewer. The mmLib data model is designed
to provide easy access to the various levels of detail needed to implement
high-level application programs for macromolecular crystallography, NMR,
modeling, and visualization. This includes specialized classes for proteins, DNA
amino acids, and nucleic acids. Also included is a extensive monomer library,
element library, and specialized classes for performing unit cell calculations
combined with a full space group library.