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.”