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PDZ Drug Discovery Platform
Arbor Vita created the PDZ Drug Discovery Platform,
which is used to discover PDZ domains or PDZ proteins that have
the ability to interact with PDZ Ligands (PL). The PDZ Drug Discovery
Platform offers exciting novel targeting, with the potential to
create a new paradigm in drug discovery by reducing time and costs
for target validation and drug screening and by increasing the
quality of drugs (i.e., fewer side effects) and the overall probability
of success. The Platform is a focused and rational approach to
drug discovery, utilizing a combination of public and proprietary
bioinformatics tools in silico molecular modeling and virtual
screening tools, properly folded proteins, laboratory information
management and the company's high-throughput screening (HTS) PRISM
Matrix assay. In preliminary screening, Arbor Vita has discovered
over 1,200 novel interactions, each one a potential drug target.
Definitive PDZ Protein Reference Set
Arbor Vita has reduced the target discovery
and validation process from months to days by creating a comprehensive,
properly folded PDZ reference set. The reference set permits high-throughput
screening for small-molecule drugs that will target any PDZ/PL
interaction with specificity. Arbor Vita has leveraged existing
technology in a focused and rational approach to create the PRISM
Database: the PDZ/PL reference set for drug discovery. Using information
from the Human Genome Project, Arbor Vita has cloned and expressed
nearly all the known human PDZ protein domains (~250) into properly
folded recombinant proteins to create a PDZ reference set. Arbor
Vita has also created a comprehensive set of PLs and tested pair-wise
combinations to create a reference set of PDZ/PL interactions.
The proprietary PRISM Database contains all of Arbor Vita's experimental
data including the PDZ and PDZ/PL reference sets.
Bioinformatics and In Silico Molecular
Modeling
Arbor Vita has created a proprietary predictive
bioinformatics tool that includes computer-based (in silico)
molecular modeling that allows scientists to quickly assess the
potential biological significance of each molecular interaction.
Utilizing x-ray crystal structure information on PDZ proteins,
Arbor Vita has developed an accurate and testable set of computer
models for PDZ domains. Using the experimental data in the PRISM
Database, models of PDZ/PL complexes are used to direct small-molecule
screens. Analysis of the data from such screens will allow Arbor
Vita to further refine the docking models to reflect small-molecule
binding and validation of the in silico results can be
accomplished using Arbor Vita's Matrix assay. To maximize value,
the system is integrated with public and proprietary discovery
research tools, relevant articles from the scientific literature,
and other protein and nucleic acid databases.
Arbor Vita is also pioneering algorithms that permit biologists to conduct scientific queries in a more powerful, hypothesis-driven manner. These tools allow biologists without computer programming
ability to generate and test ideas based on the most recent proprietary
and public data. Combined with the power of the PDZ Drug Discovery
Platform's biochemical assays, this bioinformatics and in silico
approach makes it possible for Arbor Vita to complete target identification
and validation processes rapidly.
The PRISM Matrix HTS
The PRISM Matrix is a high throughput screen
that uses properly folded human proteins to ensure that interactions
identified via the PRISM Matrix HTS are true and relevant to actual
biological systems. The PRISM Matrix HTS is rapidly scalable to
meet both high-throughput therapeutic compound screening needs
and partnership opportunities that may arise. The proprietary
PRISM Matrix HTS quickly and accurately identifies novel interactions,
titrates interactions to assess actual binding affinities and
assesses the efficacy of potential lead compounds at blocking
interactions. The PRISM Matrix HTS can be inexpensively automated
with robotics, thus the capacity for expansion is virtually unlimited.
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