1991
DOI: 10.1021/jm00112a048
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Determination of the relative binding free energies of peptide inhibitors to the HIV-1 protease

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Cited by 79 publications
(54 citation statements)
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“…lyze which of the two diastereoisomers, R or S in the HEA -OH group, binds better to the active site of HIV protease. It was calculated that the S stereoisomer binds better by 24 kcal/mol than the R isomer [5,6], in good agreement with concurrent experiments which suggest a AAG (R vs. S) of comparable magnitude [7].…”
Section: Introductionsupporting
confidence: 79%
“…lyze which of the two diastereoisomers, R or S in the HEA -OH group, binds better to the active site of HIV protease. It was calculated that the S stereoisomer binds better by 24 kcal/mol than the R isomer [5,6], in good agreement with concurrent experiments which suggest a AAG (R vs. S) of comparable magnitude [7].…”
Section: Introductionsupporting
confidence: 79%
“…8 The most accurate computational method for estimating relative binding affinities of structurally similar inhibitors to an enzyme is the free energy perturbation (FEP) approach using with either molecular dynamics (MD) or Monte Carlo (MC) simulations. 9 Despite its high accuracy, free energy calculations have primarily been used to rationalize experimentally determined binding affinities [10][11][12][13][14] with few applications focusing on predictions. [15][16][17][18] This article presents our efforts to utilize computer-aided drug design approaches, particularly, FEP method for estimating relative binding affinities for five pairs of mutant and wild-type structures of the FBPase:AMP complex and compare the free energy results with experimentally determined binding affinities.…”
Section: Introductionmentioning
confidence: 99%
“…[6][7] A free energy simulation technique known as the thermodynamic cycle perturbation (TCP) approach [8][9][10][11] used in conjunction with molecular dynamics calculations offers a theoretically precise method of determining the binding free energy differences of structurally related inhibitors. Despite its high accuracy, free energy calculations [12][13][14][15][16][17] have primarily been used to rationalize experimentally determined binding affinities rather than predict affinities of new analogues. The reluctance to use free energy calculations for predictions and therefore drug design is partly § Member of Translational Research Center for Protein Function Control, Korea.…”
Section: Introductionmentioning
confidence: 99%