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MSL library.
MSL is a C++ library for molecular modeling, analysis and design.
The underlying philosophy is to create a set of tools that enable the computational study of macromolecules with relative ease at all levels, from simple operations (for example, load a PDB and measure a distance or edit a dihedral) to complex applications (protein modeling or design).
The MSL library is not a program (although some applications are distributed) but a tool for scientist to code their own methods.
Some of the features supported by the library are:
- Support for reading and writing PDB files.
- The ability of storing and switching between multiple atom coordinates, for conformational changes and rotameric representation of side chain conformational freedom.
- For protein design, the ability to build and store multiple residue identities (i.e. LEU, ILE, ALA) at a position and switch between them.
- Transformations such as translations, rotations, and alignments.
- The CHARMM force field and other potential energies.
- Support for CHARMM topology and parameter files.
- Structure building from scratch (using internal coordinates)
- Search algorithms such as Monte Carlo, Dead End Elimination, and Self Consistent Mean Field Monte Carlo.
- Local backbone sampling.
- Crystal lattice generation.
- And more...
The libraries are in an advanced alpha stage and in active development. They are suitable for production work (at your own risk, we use them for it daily), but the APIs are not set in stone so the occasional bug will surface and feature development will be ongoing.
At the current stage the documentation is lacking and support is minimal, but we encourage interested users and community based development.
The source code can be downloaded on SourceForge at: http://mslib.svn.sourceforge.net/
Main development team:
- Senes Lab, Madison: Alessandro Senes (senes@wisc.edu), Sabareesh Subraminiam (subramaniam2@wisc.edu)
- Biosciences Division, Los Alamos National Lab: Dan Kulp (dwkulp@lanl.gov)
- DeGrado Lab, UPenn: Brett Hannigan (brettth@mail.med.upenn.edu), Jason Donald (jdon@mail.med.upenn.edu)
