Chapter 6 – Forces 205
bulk scale. It is thus no mystery why these have historically generated the most physiologic
ally relevant ensemble data.
The lack of temporal and/or spatial synchronicity in ensemble average experiments is the
biggest challenge in obtaining molecular level information. Different molecules in a large
population may be doing different things at different times. For example, molecules may be
in different conformational states at any given time, so the mean ensemble average snapshot
encapsulates all temporal fluctuations, resulting in a broadening of the distribution of what
ever statistical parameter is being measured. A key problem of molecular asynchrony is that a
typical ensemble experiment is in a steady state. That is, the rate of change between forward
and reverse molecular states is the same. If the system is momentarily taken out of steady state,
then transient molecular synchrony can be obtained, for example, by forcing all molecules into
just one state; however, this, by definition, is a short-lived effect, so practical measurements are
likely to be very transient.
Some ensemble average techniques overcome this problem by forcing the majority of the
molecules in a system a single microstate, for example, with crystallography. But, in general,
this widening of the measurement distribution presents challenges of result interpretation
since there is no easy way to discriminate between anticipated widening of an experimental
measurement due to, for example, finite detector sensitivity, and the more biologically rele
vant widening of the distribution due to underlying molecular asynchrony.
Thermal fluctuations in the surrounding solvent water molecules often act as the driving
force for molecular machines switching between different states. This is because the typical
energy difference between different molecular microstates is very similar to the thermal scale
of ~kBT energy associated with any molecule coupled to the thermal reservoir at a given tem
perature. However, it is not so much the heat energy of the biomolecule itself, which drives
change into a different state, but rather that associated with each surrounding water molecule.
The density of water molecules is significantly higher in general than that of the biomolecules
themselves, so each biomolecule is bombarded by frequent collisions with water molecules
(~109 per second), and this change of momentum can be transformed to mechanical energy
of the biomolecule. This may be sufficient to drive a change of molecular state. Biomolecules
are thus often described as existing in a thermal bath.
There is a broad range in concentration of biomolecules inside living cells, though the
actual number directly involved in any given biological process at any one time is generally
low. Biological processes occur under typically minimal stoichiometry conditions in which
stochastic molecular events become important. Paradoxically, it can often be these rarer,
single-molecule events that are the most significant to the functioning of cellular processes.
It becomes all the more important to strive to monitor biological systems at the level of single
molecules.
KEY POINT 6.2
Temporal fluctuations in biomolecules from a population result in broadening the
distribution of a measured parameter from an ensemble average experiment, which
can be difficult to interpret physiologically. Thermal fluctuations are driven pri
marily by collisions from surrounding water molecules, which can drive biomolecules
into different microstates. In an ensemble average experiment, this can broaden the
measured value, which makes reliable inference difficult.
Single-molecule force methods include variants on optical tweezer and magnetic tweezer
designs. They also include scanning probe microscopy (SPM) methods, the most important of
which in a biophysical context is atomic force microscopy (AFM), which can be utilized both
for imaging and in force spectroscopy. Electrical forces in manipulating biological objects,
from molecules through to cells, are also relevant, such as for electric current measurements
across membranes, for example, in patch clamping. On a larger length scale, rheological and
hydrodynamic forces form the basis of several biophysical methods. Similarly, elastic forces