One stumbling block in trying to apply thermodynamics rationally
is enthalpy-entropy compensation, a perverse trick of the universe in which,
when you improve the enthalpy of an interaction, you may worsen entropy, and
vice versa. For example, if you introduce a hydrogen bond into a protein-ligand
interaction, the precise positioning required may cause increased rigidity, at
an entropic cost.
Now a new paper in Proc.
Nat. Acad. Sci. USA from Michael Gilson and colleagues at UCSD
suggests that things may be even more complicated. They analyze a previously published 1 millisecond
molecular dynamics simulation of the small (58 residue) protein BPTI. There are
three main conformational states (or clusters), each with similar overall
energies. However, the researchers find that the different conformational
states have very different global enthalpies and entropies. Worse, very tiny
perturbations, such as the distance between two side chain atoms, can cause one
state to shift to another, in turn dramatically changing the overall
thermodynamic signature.
In practice, this means that when you measure the
thermodynamics of a ligand binding to a protein, the enthalpic and entropic
changes observed could have more to do with subtle changes in the global
conformation of the protein, or even changes in solvent binding, than to the
ligand-protein interaction itself.
The researchers call this phenomenon entropy-enthalpy
transduction (EET):
The thermodynamic character of a local perturbation, such as enthalpic binding of a small molecule, is camouflaged by the thermodynamics of a global conformational change induced by the perturbation, such as a switch into a high-entropy conformational state.
The researchers argue that EET could occur in many protein
systems, so experimentally determined values of entropy and enthalpy for ligand
binding are actually unreliable indicators of the local thermodynamic driving
forces we normally try to influence.
Although the researchers develop a sophisticated
mathematical framework to describe EET, at the end of the article I’m left
wondering, is there any hope of using thermodynamics for practical drug discovery?
Well, that really rains on a lot of parades, doesn't it? I was looking forward to new "Enthalpy-rich(TM)" libraries being offered soon.
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