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Why Aren't Drugs Safer? - Is
It Because We Need A Fundamental Understanding of the Receptor Response?
In order to create safer pharmaceutical drugs, we
need a fundamental understanding of the receptor response. What does this mean?
Basically we'd like to know how drugs activate or deactivate their target
receptors. This sounds simple enough, yet with all of the research time and
money that's been thrown at this problem we still don't have agreement on the
underlying biophysical mechanism for receptor activation or response. Perhaps
this partially explains why we miss some of the serious side effects of drugs.
Scientifically accurate descriptions of drug-receptor interactions should
eventually lead to better pharmaceuticals; therefore, this should be a top
priority for future pharmaceutical research. In this age of computers, one would
think that computer models would provide us with straightforward explanations
for the receptor response. Why hasn't this happened during the past few decades
of intense research?
Surprisingly, not even the most modern computers are up to the task. This is due
to problems that include inadequate descriptions of the basic biophysical
picture and the inexact nature of our computer simulations. Also as many
computer models become increasingly complex, we lose the ability to "see" what
is happening at the level required for us to truly understand the underlying
mechanism. Although our computers provide us with large amounts of output, the
complexity of the computer code requires us to interpret the output in
meaningful ways. This is big business in pharmaceutical and academic research
today.
However, in the face of sometimes daunting scientific challenges, it is often
prudent to limit one's efforts to those parts of the picture that are amenable
to our computational simulations. This, however, may limit us to only
incremental progress. As scientists, we all like to believe that we're
contributing meaningful work toward solving particular problems. However, we
know that we must be missing key concepts that prevent a true breakthrough in
our understanding of the receptor response. On the other hand, there sometimes
occurs a new concept that's just so outrageous that it might be enough to
provide the breakthrough we need. This has certainly happened before in the
history of science with the caveat that a new concept usually isn't accepted
quickly because most scientists don't have enough time, energy, or motivation to
check it.
With that warning, the fundamental concept that prevents us from understanding
receptor response is how we define a relatively simple chemical concept called
an equilibrium. This may seem far removed from the study of biological receptors
or even foolish because the concept of chemical equilibrium seems so firmly
established, but it lies at the very core of the problem to model the receptors'
behavior because it is the perturbation of the equilibrium of the receptor that
determines the response.
The problem is that the true chemical equilibrium is composed of multiple
microstates interacting with many other microstates of many other molecules in
solution. A microstate is a detailed configuration of a molecular system that
includes specific molecular conformations and interactions. The reality is that
even with our most sophisticated computers we can't account for all of the
microstates comprising a particular concentration within an equilibrium. To do
this we would have to calculate all of the different pH-dependent states
interacting with the various counterion binding states, which are an excessively
large number of possible combinations for modeling any proteins or receptors in
solution. Therefore, in our attempt to model molecular and chemical behavior, we
lump these microstates together into one state that we label a concentration.
Although these molecular microstates are far too numerous to model, if one can
discover a suitable receptor model with a feasible biophysical mechanism for a
two-state receptor system, then one can test the predictions of such a model
using various computational simulations. These two-state systems also represent
an obvious simplification of the underlying microstates. However, over the years
they have been useful in describing drug-receptor systems in an on-off fashion
and have recently made something of a comeback in pharmacology theory.
For a simple two-state receptor system with a binding molecule that reacts
differently with either side of a two-state equilibrium, there will be a stress
created on the side of the equilibrium that reacts the most with the binding
molecule. This requires a compensatory shift toward the more active side of the
equilibrium to relieve this stress. This shift has been known in chemistry for
many decades as Le Chatelier's principle. As strange as it may seem, we can make
an analogy between the poised chemical equilibrium of a receptor in either of
two states and a weighing on a simple beam balance. This allows us to see that
the chemical equilibrium is very similar to the behavior of a simple balance.
The reason has to do with the underlying changes within the microstates
comprising the chemical equilibrium that increase the probability of a receptor
molecule being on one side of the equilibrium or the other (e.g. in a simple
two-state system). This is analogous to the addition of weights to either side
of a physical balance causing the balance to tip toward the more weighted side.
By altering the probabilities of the underlying receptor microstates, the
chemical equilibrium shifts and thereby represents something more than the
simple concentration expressions. Instead the shift represents a change in the
underlying probability distribution of microstates for the chemical
concentrations.
The mathematical calculation for this shift requires that a ratio of states be
constructed for two equal processes. The calculation is the same for a simple
balance where a displacement may be obtained by either the addition of unequal
weight to either side or by the transfer of weight from one side of the balance
to the other. Combining the equivalent changes creates a fundamental equation
for equilibrium that allows us to solve for the initial shift.
One of the most fascinating observations from this approach is that the solution
for this initial shift obeys a fundamental psychophysical law called Weber's law
or the Weber-Fechner law (see - Weber's Law Modeled by the Mathematical
Description of a Beam Balance, Mathematical Biosciences 122: 89-94 (1994)). Our
sensory systems that depend on cellular receptors also obey this law. Why would
a simple balance obey a law that also applies to our sensory perceptions? This
observation links the chemical equilibrium of receptors with the equilibrium of
a simple balance and further suggests a common mechanism between the physical,
chemical, biological and physiological realms. The mechanism is that the
perturbation of a two-state equilibrium that alters the underlying probabilities
makes one side of the equilibrium more or less likely than the other side.
In pharmacology, this perturbation or shift was never before calculated as a
separate parameter and examined to see whether or not it describes the
drug-receptor response until a little more than thirteen years ago when the
theory was first conceived (see - A Method for determining drug compositions to
prevent desensitization of cellular receptors. U.S. Pat. 5,597,699 (1997) - note
that this patent was originally begun in 1992). Since then it has been tested a
number of times both in vivo and in vitro and found to be a valid predictor of
receptor response (see the most recent results in - Optimal Agonist/Antagonist
Combinations Maintain Receptor Response by Preventing Rapid Beta-1 adrenergic
Receptor Desensitization Intl. J. Pharmacol., 1(2): 122-131, 2005 and
http://www.bio-balance.com/Graphics.htm for
the derivation).
We now understand that receptors function as poised chemical balances that can
be shifted to either side by unequal ligand binding. However, one of the more
difficult concepts is to explain how receptors desensitize. This means that the
receptor's response decreases in the continued presence of a stimulus. This
seems to be counterintuitive, but it affects anywhere from thirty to fifty
percent of all drug receptors and can occur rapidly within milliseconds to
minutes. Wouldn't it be fascinating if the simple balance also desensitized? In
fact, the balance also desensitizes just like the biological receptors if the
weights are distributed by a Langmuir binding expression, which is a fundamental
chemical expression for calculating molecular binding (see - Desensitization of
a balance with Langmuir binding of weights. arXiv 2003,
http://arXiv.org/abs/physics/0303055 ). Perhaps
this finding is expected if the chemical balance is being influenced by the
physical binding of the ligands, but it nevertheless seems extraordinary that
such a relatively simple physical system can model some of the most intractable,
nonlinear problems of biological modeling.
Understanding these concepts with such a simple model, gives us pause to marvel
at the fact that we are allowed to understand such things. We wonder whether
this research might also apply to other mathematical, physical, chemical and
biological areas and hope that these applications will lead to the development
of safer pharmaceutical drugs.
Richard Lanzara, Ph.D.
President and Principal Scientific Officer
Bio Balance, Inc.
Keywords: GPCRs, Adrenergic, receptor model, biophysical model, computational
model, two-state model, cysteine, sulfhydryl, thiol, molecular model, acid-base
model, mathematical model, nonlinear, probalistic, drugs, biotech, pharmacology,
pharmaceuticals, receptor activation.
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