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The
AIDD™ process both utilizes
and builds our library at the
same time. Instead of randomly
generating a diverse compound
library, Neurogen has chosen to
bias or “enrich” its
compound library in favor of selected
families of compounds. Neurogen
believes that to be successful
in the drug discovery process,
it is not the biggest or most
diverse library that counts, but
rather the richest and most intelligently
designed.
AIDD builds and rationally enriches
our compound library by relating
functional molecules not just
by their core structures, but
also by their overall posture
in chemical space; a process of
identifying related groups of
compounds that we call “Islands™”.
Based on computer models of identified
key characteristics, Neurogen
uses high-speed synthesis combinatorial
chemistry techniques to expand
existing Islands and discover
new ones. Newly synthesized compounds
are tested against multiple targets
via high throughput screening.
The results of each cycle of synthesis,
analysis and testing are exploited
to refine AIDD models resulting
in the design of better compounds
and discovery of new Islands of
high activity.
AIDD’s ability to design
new compounds and to discover
new Islands is accomplished not
only by the testing of real compounds
already in our enriched library,
but by testing computer-designed
molecules in a “virtual”
library (numbering several hundred
million virtual compounds that
exists only as computer-based
compound models) against computer-based
target models. In this way, promising
virtual compounds identified by
virtual screening, can be actually
synthesized, added to the real
compound library, and tested against
actual targets. The result is
to both generate new Islands and
refine the chemical leads previously
identified until we discover compounds
promising enough to move to the
next phase of preclinical development.
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We
believe we possess one of the
leading receptor biology teams
in the world. We utilize this
expertise in the design and construction
of screening assays to capitalize
on novel biological targets in
our drug discovery efforts.
We
focus on discovering novel drugs,
designed to provide significant
therapeutic advantages. We believe
that our scientific expertise
coupled with our AIDD system and
our enriched library will allow
us to continue to efficiently
capitalize on highly validated
targets where others have failed
to discover successful drug candidates
and to capitalize on the large
number of targets that have resulted
from the sequencing of the human
genome |
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Accelerated
Intelligent Drug Discovery system
(AIDD) is an integrated system
of hardware and software that
allows Neurogen scientists to
improve on the trial and error
process traditionally associated
with drug discovery and development.
This system incorporates automated
robotics guided by state-of-the-art
computerization, including neural
network-based artificial intelligence,
to design, model, synthesize and
screen new chemical compounds.

Specifically,
AIDD enables scientists to streamline
and accelerate the drug discovery
process through the effective
and efficient iterative application
of various phases of discovery. |
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We are positioning ourselves
to take full advantage of our demonstrated ability to discover
drug candidates in some of the most challenging, but most
promising, areas the pharmaceutical industry faces. Leveraging
our core technological strengths and intellectual know-how,
we are developing a strategic framework around our R&D
practices.

Neurogen's closed loop environment
from lead discovery through early clinical proof-of-concept
principle, forms an integrated medicine feedback loop which
speeds development of compounds in the clinic by seamlessly
linking drug discovery and drug development. Through iteration,
this process allows us to rapidly feed back clinical development
information to our drug discovery teams and improve upon additional
drug candidates within a program. As a result of implementing
this powerful system, we expect to significantly increase
our clinical output and R&D productivity.
Our proprietary platform enables
us to rapidly and efficiently discover compounds that hit
new potential drug targets, evaluate the utility of those
targets and optimize useful leads into new drug candidates.
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