07.04.2013 Views

Essentials of Computational Chemistry

Essentials of Computational Chemistry

Essentials of Computational Chemistry

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

12.2 COMPUTING FREE-ENERGY DIFFERENCES 439<br />

E (s) + S (s)<br />

E (s) + S′ (s)<br />

∆G° aq (1)<br />

E•S (s)<br />

0 ∆∆G° mut(S) ∆∆G° mut(E•S)<br />

∆G° aq (2)<br />

E•S′ (s)<br />

Figure 12.4 Differential binding free-energy cycle. The difference in binding free energies for two<br />

different substrates, S and S ′ , is equal to the difference in mutation free energies for changing S into<br />

S ′ in solution, and EžS intoEžS ′ in solution. The leftmost vertical free-energy change is zero, since<br />

the free enzyme is a constant independent <strong>of</strong> substrate<br />

12.2.5 Potentials <strong>of</strong> Mean Force<br />

When free energy is expressed as a function <strong>of</strong> coordinate, it is referred to as a potential <strong>of</strong><br />

mean force (PMF). The PMF W can be determined as<br />

W(q) =−kBT ln π(q) (12.22)<br />

where q is the coordinate, and π is the probability <strong>of</strong> the coordinate taking on a particular<br />

value, i.e.,<br />

δ[q ′ (q) − q]e −E(q,p)/kBT<br />

dqdp (12.23)<br />

π(q) = Q −1<br />

<br />

where Q is the (normalizing) full partition function, δ is the Dirac delta function, and q ′<br />

is the value <strong>of</strong> the PMF coordinate for any arbitrary point in phase space having positional<br />

coordinates q.<br />

In practice, one may evaluate these probabilities following a histogram approach like<br />

those outlined in Chapter 3. Over the course <strong>of</strong> a MC or MD simulation, the value <strong>of</strong> q ′<br />

is collected and binned, and the probability <strong>of</strong> different ranges <strong>of</strong> values can be determined<br />

upon completion <strong>of</strong> the simulation based on the number <strong>of</strong> points in a bin compared to<br />

the total number <strong>of</strong> points. For example, we might be interested in the PMF for rotation<br />

about the C−O bond in fluoromethanol (see Figure 2.3). Over the course <strong>of</strong> a simulation,<br />

the torsional angle would be saved at every step, and with good sampling a probability<br />

histogram would permit conversion to a PMF accurately reflecting the true potential. In the<br />

case <strong>of</strong> fluoromethanol, the difference in energy between the lowest and highest points on<br />

the potential energy curve is about 3 kcal mol −1 . At 298 K, we would thus expect to sample<br />

points in the highest energy region about 100 times less frequently than points in the lowest<br />

energy region. Of course, if the width <strong>of</strong> a bin is, say, one degree, there are many other<br />

possibilities for bins to fill, and ultimately roughly one point in every 10 000 or so would<br />

be statistically expected to fall into the highest energy bin. To obtain reliable statistics, we

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!