Chemical Computing Group announces new version of Protein Silo database

23 February 2010

Chemical Computing Group (CCG) has announces the release of PSILO 2010.02 (Protein Silo). PSILO is a database system that provides an easily accessible, consolidated repository for proprietary and non-proprietary macromolecular and protein-ligand structural information.

It offers research organizations a means to systematically register, annotate, track and disseminate both experimental and computational macromolecular structural data. PSILO provides powerful bioinformatics and cheminformatics searches, analysis and visualization capabilities through a web browser interface.

PSILO 2010.02 offers new benefits for comparing protein-ligand binding sites and maintaining target specific family databases. These include:

  •  Pocket similarity searching and superposition of structures by pocket;
  •  Managing user-defined protein families and standard reference frames for project data; and
  •  Streamlined visualization of related structures and bound ligands

“We are pleased with our continued development of PSILO,” said Paul Labute, President and CEO of CCG, “we have had a very positive response since the first release of PSILO last year. The new features enhance PSILO’s capabilities in the area of project data management and dissemination. Of particular interest is our new method of performing pocket similarity searches. With this capability of PSILO, research scientists will be able to mine macromolecular data for potential off-target effects or novel applications of existing molecules.

 “An organization’s macromolecular data is critical intellectual property that should be safeguarded in a central repository which is easy to maintain. PSILO provides the means to do this by relying on standard IT infrastructure so that an organization can be up and running quickly, keeping maintenance to a minimum. The open source architecture also allows IT developers to create custom solutions and enables long-term flexibility as the needs of the organization change over time. We hope that these new features along with the Google-like interface will help maximize the value of the structural data and improve efficiency in project related work.”


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