Visualization of Protein Ligand Graphs (VPLG) uses a graph-based model to describe the structure of proteins on the super-secondary structure level. A protein-ligand graph is computed from the atomic coordinates in a PDB file and the secondary structure assignments of the DSSP algorithm. In this graph, vertices represent secondary structure elements (SSEs, usually alpha helices and beta strands) or ligand molecules, while the edges model contacts and relative orientations between them. The graphs can be visualized, written to a database, and saved in a text-based file format.
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 of useful software components for parsing mmCIF, PDB, and MTZ 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.
The Finishing Scripts for Cluster Installations handle specific post-installation configuration that might not be convienent nor possible using existing cluster installation methods. The usual installation process is used to build a reasonably configured node, and the system then reboots into normal mode, achieves network visibility, and executes the finishing script. The finishing script handles all of the finer details of installing packaged or non-packaged software, tweaking installation, setting host/net specific parameters/files, etc. It is controlled via a single, easily modified script.