Syrrx and MolSoft form strategic alliance
San Diego 31 October 2000 Syrrx and MolSoft, have entered into a 10-year strategic
alliance to accelerate structure-guided drug discovery through the combination
of MolSoft's Virtual Ligand Screening (VLS) technology with Syrrx's
high-throughput structural proteomics platform.
As a result of the agreement, Syrrx shall be the only
company authorized to use MolSoft VLS technology in combination with structural
proteomics capabilities. MolSoft will, however, continue to provide VLS services
directly to major pharmaceutical and biotechnology companies.
Syrrx uses an array of proprietary robotic technologies to automate and
streamline multiple steps in the protein structure determination process,
resulting in the determination of hundreds of protein structures each year.
MolSoft's technology then takes Syrrx discoveries one step closer to medical
breakthroughs by using protein structures to create novel drugs. MolSoft's VLS
technology uses a supercomputer to simulate the interaction between proteins
(i.e., potential drug targets) and small molecules (i.e., potential drugs). The
proteins and small molecules are then "fitted" together in the computer to
identify those small molecules that might become future drugs. More than 1
million compounds can be tested each day using MolSoft technology. "Our new
algorithms are trained to solve the global energy optimization problem of highly
complex systems," commented Maxim Totrov, Molsoft's Principal Scientist and
scientific co-founder. "Syrrx's robotics," added Wendell Wierenga, CEO of Syrrx,
"leveraged together with MolSoft's VLS technology, uniquely positions Syrrx to
assume the lead in the structural proteomics space, and, ultimately, to design
drugs rapidly."
MolSoft has been developing breakthrough software tools for molecular modeling,
bioinformatics, and computer-aided drug discovery since 1994. MolSoft's
technology is used by major academic institutions, government organizations, and
pharmaceutical companies, including the Genomics Institute of the Novartis
Research Foundation, the National Institutes of Health, the Karolinska Institute
(Sweden), New York University, Structural Bioinformatics Inc., eBioinformatics,
Pharmacia, SmithKline Beecham, and Bristol-Myers Squibb.
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