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 The CADI™ analytical platform. An original and highly
efficient approach to Predictive Integrative biology challenges
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- Our approach is based upon the
weighted contextual indexation of the literature,
in terms of user-defined criteria, associated with
the systematic destruction of hypotheses arising
from the injection of data into the indexed literature
databases.
- Computer-driven processes are
implemented to gather and structure the information
recorded in the scientific literature encompassing
all known functional interactions between genes,
proteins and other small molecules pertaining to
cellular and physiological mechanisms in a specified
context. Specialized biologists then use these data
representations to generate hypotheses that can
be very rapidly tested against all available information
sources.
- The aim here is to invalidate
the hypothesis.
- The elements that result in a
hypothesis being destroyed are in turn used to generate
a new hypothesis which will then be submitted to
the destructive process, and so on iteratively until
a hypothesis which cannot be destroyed is obtained.
- This does not mean that the hypothesis
is correct; it merely means that it is supported
by the existing publicly accessible information.
- Undestroyed hypotheses are then
merged into ‘meta-hypotheses’ that are in turn subjected
to the iterative destruction process. In this manner,
one finally arrives at a theoretical biological
model entirely supported by published information
which provides directly testable explanations for
as yet poorly understood mechanisms
- Should the biological data arising
from these tests demonstrate that the model is largely
incorrect, this new data can now be injected into
the process to correct the model.
- Implementation of this process
naturally requires a considerable amount of upstream
programming, data-bases construction and interconnection,
routines and sub-routines implementation, interface
development, etc…
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Copyright © 2003 Bio-Modeling Systems / BMSystems. All rights reserved
bmsystems@bmsystems.net
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