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Comparative Study
. 1991 Nov 15;88(22):10287-91.
doi: 10.1073/pnas.88.22.10287.

Relative differences in the binding free energies of human immunodeficiency virus 1 protease inhibitors: a thermodynamic cycle-perturbation approach

Affiliations
Comparative Study

Relative differences in the binding free energies of human immunodeficiency virus 1 protease inhibitors: a thermodynamic cycle-perturbation approach

M R Reddy et al. Proc Natl Acad Sci U S A. .

Abstract

Peptidomimetic inhibitors of the human immunodeficiency virus 1 protease show considerable promise for treatment of AIDS. We have, therefore, been seeking computer-assisted drug design methods to aid in the systematic design of such inhibitors from a lead compound. Here we report thermodynamic cycle-perturbation calculations (using molecular dynamics simulations) to compute the relative difference in free energy of binding that results when one entire residue (valine) is deleted from one such inhibitor. In particular, we studied the "alchemic" mutation of the inhibitor Ac-Ser-Leu-Asn-(Phe-Hea-Pro)-Ile-Val-OMe (S1) to Ac-Ser-Leu-Asn-(Phe-Hea-Pro)-Ile-OMe (S2), where Hea is hydroxyethylamine, in two different (R and S) diastereomeric configurations of the hydroxyethylene group. The calculated (averaged for R and S) difference in binding free energy [3.3 +/- 1.1 kcal/mol (mean +/- SD); 1 cal = 4.184 J] is in good agreement with the experimental value of 3.8 +/- 1.3 kcal/mol, obtained from the measured Ki values for an equilibrium mixture of R and S configurations. Precise testing of our predictions will be possible when binding data become available for the two disastereomers separately. The observed binding preference for S1 is explained by the stronger ligand-protein interaction, which dominates an opposing contribution arising from the large desolvation penalty of S1 relative to S2. This calculation suggests that the thermodynamic cycle-perturbation approach can be useful even when a relatively large change in the ligand is simulated and supports the use of the thermodynamic cycle-perturbation algorithm for screening proposed derivatives of a lead inhibitor/drug prior to their synthesis.

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