Cell Language Theory, The: Connecting Mind And Matter

Applications of the Cell Language Theory to Biomedical Sciences 329

“6x9” b2861 The Cell Language Theory: Connecting Mind and Matter

mRNA data measured from the tumor tissue biopsied from a given cancer

patient and cultured in the presence of several FDA-approved drugs in order

to identify the most efficacious drug for that patient.

The four steps of the PDE-based drug discovery procedure given in

Figure 7.23 are detailed below:

(1) Select those portions of the genome-wide mRNA data of the human

breast cancer tissues that have been found to respond to candidate

drug X through the PDE-based analysis as described in Section 7.3.3

and transform them into histograms.

(2) Using the Solver software in Excel, determine the numerical values

of the PDE parameters A, B, and C as in Figure 7.17 for both candi-

date drug X and at least one FDA-approved anticancer drug.

(3) Plot A vs. C and determine the linear equation, y = ax + b, and the

associated correlation coefficient R^2 values for both the candidate drug

Figure 7.23 The PDE-based procedure (or algorithm) for discovering anticancer drugs.

Anticancer drugs are predicted to produce linear correlations in the ∆slope vs. SM plots

with correlation coefficients greater than ~0.6.

DNA Microarray data of cancer-

associated pathwaysmeasured

from BE and AF samples

BE and AF Histograms

BE and AF

A, B, C parameter values of PDE

A vs C plots (BE & AF)

y= ax + b

Drug-induced ∆slope vs <SM> plots

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