Public domain software available for downloading ...
Solvent AccessBilitiEs (SABLE): program for accurate prediction of real-valued relative solvent accessibility (RSA) and secondary structures of amino acid residues in proteins. This is a stand-alone version of the SABLE server.
Sable v. 1.0 (SABLE 1): PC distribution (includes source code, ready to be compiled under Cygwin). DOWNLOAD
Sable v. 2.0 (SABLE 2): includes source code, SuSe Linux and Windows executables, both SABLE 1 and SABLE 2 predictions, reliability scores for RSA predictions (see the SABLE documentation for details). DOWNLOAD
Sequence-Independent Filtering Tool (SIFT): program for assessing the quality of putative models of protein structures and for filtering out non-physical models in protein folding simulations. This is a stand-alone version of the SIFT server.
Sift v. 1.0: Unix distribution (includes source code, easy to port to other platforms). DOWNLOAD
Check also the POLYVIEW server (and its documentation) for scripts that enable automatic submissions to our servers and the Linear Programming and Machine Learning Benchmarks and problems generated in our group and available for downloading from the LP-ML Bench page.
Learning Observing and Outputting Protein Patterns (LOOPP): program for protein structure prediction and design of folding potentials. LOOPP can be used to generate reduced representations of protein structure, sequence-to-sequence, sequence-to-structure and structure-to-structure alignments. It was also used to design several novel threading and folding potentials (scoring functions) that were successfully applied to protein structure recognition for a number of interesting distant homologs (for details see LOOPP home page). The previous versions as well as based on them new code by Tammi Galor can be downloaded from the Cornell Theory Center. The release of our latest version still awaits better times :-).
All the software included here is freely available to academic users. It is our intention that it is used to advance scientific research and should not be used for direct commercial gains. Please, refer to the README files included in the respective distributions for details regarding licensing, terms of use, disclaimers etc.
Jarek Meller, 9/8/2004