Resistance profiles of cyclic and linear inhibitors of HIV-1 protease

Human immunodeficiency virus type 1 protease inhibitor drug-resistant mutants give discordant results when compared in single-cycle and multiple-cycle fitness assays

The replication fitness of HIV-1 drug-resistant mutants has been measured using either multiple-cycle or single-cycle assays (MCAs or SCAs); these assays have not been systematically compared. We developed an MCA and an SCA that utilized either intact or env-deleted recombinant viral vectors, respectively, in which virus-infected cells were detected by flow cytometry of a reporter gene product. Fitness was measured using each assay for 11 protease mutants, 9 reverse transcriptase mutants, and two mutants with mutations in gag p6, which is important for the release of virus particles from the cell membrane. In the SCA, fitness (replication capacity [RC]) was defined as the proportion of cells infected by the mutant compared to the wild type 40 h after infection. MCA fitness (1+s) was determined by comparing the changes in the relative proportions of cells infected by the mutant and the wild type between 3 and 5 days after infection. Five protease mutants showed statistically different fitness values by the MCA versus the SCA: the D30N, G48V, I50V, I54L, and I54M mutants. When all the mutants were ranked in order from most to least fit for both assays, 4 protease mutants moved more than 5 positions in rank: the D30N, I54L, I54M, and V82A mutants. There were no significant differences in fitness for the gag p6 or reverse transcriptase mutants. We propose that discordant results in the MCA and SCA are due to alterations in late events in the virus life cycle that are not captured in an SCA, such as burst size, cell-to-cell transmission, or infected-cell life span.

Molecular tongs containing amino acid mimetic fragments: new inhibitors of wild-type and mutated HIV-1 protease dimerization

We have designed, synthesized, and evaluated the inhibitory activity and metabolic stability of new peptidomimetic molecular tongs based on a naphthalene scaffold for inhibiting HIV-1 protease dimerization. Peptidomimetic motifs were inserted into one peptidic strand to make it resistant to proteolysis. The peptidic character of the molecular tongs can be decreased without changing the way they inhibit dimerization. Mutated HIV-1 proteases are also vulnerable to dimerization inhibitors, and the multimutated protease ANAM-11 is twice as sensitive to the inhibitor compared to wild-type protease. Thus, the metabolic stability of antidimeric molecular tongs can be increased without compromising their ability to inhibit wild-type and mutated HIV-1 proteases in vitro.

Improved Structure−Activity Relationship Analysis of HIV-1 Protease Inhibitors Using Interaction Kinetic Data

Despite the availability of large amounts of data for HIV-protease inhibitors and their effectiveness with wild type and resistant enzyme, there is limited knowledge about how this and other information can be systematically applied to the development of new antiviral compounds. To identify in vitro parameters that correlate with the efficacy of HIV inhibitors in cell culture, the relationships between inhibition, interaction kinetic, and cell culture parameters for HIV-1 protease inhibitors were analyzed. Correlation, cluster, and principal component analysis of data for 37 cyclic and linear compounds revealed that the affinities (K(D)) determined from SPR-biosensor binding studies correlated better to cell culture efficacy (ED(50)) than that of the inhibition constants (K(i)), indicating that the conventional use of K(i) values for structure-activity relationship analysis of HIV-1 inhibitors should be seriously reconsidered. The association and dissociation kinetic rate constants (k(on) and k(off)) alone showed weak correlations with ED(50) values. However, ED(50) values were most related to the free enzyme concentration in the viral particle ([E]), calculated from the rate constants and the total enzyme concentration in a viral particle. A structure-activity relationship analysis of the current data set was found to be valid for all classes of compounds analyzed. In summary, use of affinity, based on interaction kinetic rate constants, rather than inhibition constants, and theoretical consideration of the physiological conditions in the virus particle provide improved structure-activity relationship analysis of HIV-1 protease inhibitors.

Generation of predictive pharmacophore models for CCR5 antagonists: study with piperidine- and piperazine-based compounds as a new class of HIV-1 entry inhibitors

Predictive pharmacophore models were developed for a large series of piperidine- and piperazine-based CCR5 antagonists as anti-HIV-1 agents reported by Schering-Plough Research Institute in recent years. The pharmacophore models were generated using a training set consisting of 25 carefully selected antagonists based on well documented criteria. The activity spread, expressed in K(i), of training set molecules was from 0.1 to 1300 nM. The most predictive pharmacophore model (hypothesis 1), consisting of five features, namely, two hydrogen bond acceptors and three hydrophobic, had a correlation (r) of 0.920 and a root mean square of 0.879, and the cost difference between null cost and fixed cost was 44.46 bits. The model was cross-validated by randomizing the data using the CatScramble technique. The results confirmed that the pharmacophore models generated from the test set were not due to chance correlation. The best model (hypothesis 1) was validated using test set molecules (total of 78) and performed well in classifying active and inactive molecules correctly. The model was further validated by mapping onto it a diverse set of six CCR5 antagonists identified by five different pharmaceutical companies. The best model correctly predicted these compounds as being highly active. These multiple validation approaches provide confidence in the utility of the predictive pharmacophore model developed in this study as a 3D query tool in virtual screening to retrieve new chemical entities as potent CCR5 antagonists. The model can also be used in predicting biological activities of compounds prior to undertaking their costly synthesis.

Elucidation of HIV-1 protease resistance by characterization of interaction kinetics between inhibitors and enzyme variants

The kinetics of the interaction between drug-resistant variants of HIV-1 protease (G48V, V82A, L90M, I84V/L90M, and G48V/V82A/I84V/L90M) and clinically used inhibitors (amprenavir, indinavir, nelfinavir, ritonavir, and saquinavir) were determined using biosensor technology. The enzyme variants were immobilized on a biosensor chip and the association and dissociation rate constants (k(on) and k(off)) and affinities (K(D)) for interactions with inhibitors were determined. A unique interaction kinetic profile was observed for each variant/inhibitor combination. Substitution of single amino acids in the protease primarily resulted in reduced affinity through increased k(off) for the inhibitors. For inhibitors characterized by fast association rates to wild-type protease (ritonavir, amprenavir, and indinavir), additional substitutions resulted in a further reduction of affinity by a combination of decreased k(on) and increased k(off). For inhibitors characterized by slow dissociation rates to wild-type enzyme (saquinavir and nelfinavir), the decrease of affinity conferred by additional mutations was attributed to increased k(off) values. Development of resistance thus appears to be associated with a change of the distinctive kinetic parameter contributing to high affinity. Further inhibitor design should focus on improving the "weak point" of the lead compound, that being either k(on) or k(off).