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CHEMSAS™: The Core Technology
CHEMSAS™ is an in silico process
for predicting target biological activities for a molecule from its molecular structure.
CHEMSAS™ combines an optimized molecular decomposition
algorithm with a Hybrid of Machine Learning/ Modeling Technologies.
CHEMSAS™ models undergo rigorous multi-stage
validation prior to implementation.
CHEMSAS™ is a Platform Technology
applicable to a wide range of in vitro and in vivo applications with a clearly identifiable therapeutic target!
CHEMSAS™: Core Assumptions
Molecular Structure largely determines Biological Activity.
This relationship is Specific for a given Biological Target.
This relationship is Complex and Highly Non Linear
Specific Relationships can be accurately represented by an
optimal set of mathematical equations/models.
Current entry point for all potential drugs remains in vitro profiling.
With sufficient and representative data in silico models can
accurately simulate in vitro and in vivo tests.
Computer Hardware and Software exists that permit high dimensional/highly non-linear mathematical modeling in a optimal development cycle.
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1-519-858-5157
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"Whether scientist or artist or mystic, we
are stunned by the beauty
and the complexity of what we see. But whether we look with the
eyes
of science or religion, we see order and lawfulness underlying superficial
complexity."
...J.S. Lewis, Worlds Without End, 1998 |
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