Quantitative structure-activity relationships of some HIV-protease inhibitors

Past and future. Current drugs targeting HIV-1 integrase and reverse transcriptase-associated ribonuclease H activity: single and dual active site inhibitors

Catalytic HIV type-1 (HIV-1) integrase (IN) and ribonuclease H (RNase H) domains belong to the polynucleotidyl transferase superfamily and are characterized by highly conserved motifs that coordinate two divalent Mg(2+) cations and are attractive targets for new antiviral agents. Several structural features of both domains are now available. Drugs targeting the HIV-1 IN are currently approved for anti-HIV therapy, while no drug targeting the HIV-1 RNase H function is yet available. This review describes HIV-1 IN and the RNase H function and structures, compounds targeting their active sites and dual inhibition as a new approach for drug development.

Discovery of 3-acetyl-4-hydroxy-2-pyranone derivatives and their difluoridoborate complexes as a novel class of HIV-1 integrase inhibitors

HIV-1 integrase (IN) has emerged as an important therapeutic target for anti-HIV drug development. Its uniqueness to the virus and its critical role in the viral life cycle makes IN suitable for selective inhibition. The recent approval of Raltegravir (MK-0518) has created a surge in interest and great optimism in the field. In our ongoing IN drug design research, we herein report the discovery of substituted analogs of 3-acetyl-4-hydroxy-2-pyranones and their difluoridoborate complexes as novel IN inhibitors. In many of these compounds, complexation with boron difluoride increased the potency and selectivity of IN inhibition. Compound 9 was most active with an IC(50) value of 9 microM and 3 microM for 3'-processing and strand transfer inhibition, respectively.

Evaluation of a neural networks QSAR method based on ligand representation using substituent descriptors. Application to HIV-1 protease inhibitors

We present here a neural networks method designed to predict biological activity based on a local representation of the ligand. The compounds of the series are represented by a vector mapping for each of four substituent properties: volume, log P, dipole moment and a simple 'steric' parameter relating to its shape. This ligand representation was tested using neural networks on a set of 42 cyclic-urea derivatives, inhibiting HIV-1 protease. The leave-one-out cross-validation using all descriptors in the input gave a correlation factor between prediction and experiment of 0.76 for the overall set and 0.88 when three outliers were left out. To rank the significance of the four descriptors, we further tested all combinations of two and three parameters for each substituent, using two disjunctive testing sets of five inhibitors. In these sets, vectors with extreme descriptor values were used either in the training or the testing set (sets A and B, respectively). The method is a very good interpolator (set A, 95+/-2% accuracy) but a less effective extrapolator (set B, 85+/-2% accuracy). Generally, the combinations including the 'steric' parameter predict better than average, while those containing the volume are less effective. The best prediction, 98.8+/-1.2%, was obtained when log P, the dipole and the steric parameter were used on set A. At the opposite end, the lowest ranked descriptor set was obtained when replacing log P with the volume, giving 92.3+/-6.7% accuracy over the set A.

From SAR to comparative QSAR: role of hydrophobicity in the design of 4-hydroxy-5,6-dihydropyran-2-ones HIV-1 protease inhibitors

Role of hydrophobicity in the design of 4-hydroxy-5,6-dihydropyran-2-ones-a new class of emerging HIV-1 protease inhibitors (HIV-PI) was investigated by using comparative QSAR. These studies show that most of the data points in the individual dataset studied fall either on positive or negative side of the optimum value of ClogP. This is why, we observe either a positive or negative ClogP term in the QSAR. To observe the optimum value of ClogP for these inhibitors, a sufficient spread in the data is required. It is hoped that the results of this study would help in optimizing substituents for better binding at enzyme pockets and guide in the design of more effective HIV-PI of this class.

A mechanistic study of 3-aminoindazole cyclic urea HIV-1 protease inhibitors using comparative QSAR

Comparative QSAR studies on P2/P2' and P1/P1' substituted symmetrical and nonsymmetrical 3-aminoindazole cyclic urea HIV-1 protease inhibitors were performed. The protease inhibitory activity of these compounds was found to decrease with larger and more hydrophobic molecules, whereas the antiviral potency and translation across the cell membrane increases with increase in hydrophobicity and size. These results provide mechanistic insight about the mode of interaction of these compounds with HIV-1 protease receptor and would help in further improving the biological activity.

Correlation between the predicted and the observed biological activity of the symmetric and nonsymmetric cyclic urea derivatives used as HIV-1 protease inhibitors. A 3D-QSAR-CoMFA method for new antiviral drug design

The predicted inhibition constant (Ki) and the predicted inhibitor concentration (IC90) of the HIV-1 protease (HIV- 1 PR) inhibitors: symmetric and nonsymmetric - benzyl, ketone, oxime, pyrazole, imidazole, and triazole cyclic urea derivatives, were obtained by the 3D-CoMFA (Comparative Molecular Field Analysis) method. The CoMFA statistical parameters: cross-validate correlation coefficient (q2), higher than 0.5, and the fitted correlation coefficient (r2), higher than 0.90 validated the predicted biological activities. The best predictions were found for the trifluoromethyl ketoxime derivative (log 1/Ki predict = 8.42), the m-pyridineCH2 pyrazole derivative (log 1/Ki predict = 9.77) and the 1,2,3 triazole derivative (log 1/Ki predict = 7.03). We attempted to design a new potent HIV-1 protease inhibitor by addition of o-benzyl to the (p-HOPhCH2) pyrazole 12f derivative inhibitor. A favorable steric area surrounded the o-benzyl, suggesting a possible new potent HIV-1 protease inhibitor.

Comparative study of some energetic and steric parameters of the wild type and mutants HIV-1 protease: a way to explain the viral resistance

Because, in vivo, the HIV-1 PR ( HIV-1 protease) present a high mutation rate we performed a comparative study of the energetic behaviors of the wild type HIV-1 PR and four type of mutants: Val82/Asn; Val82/Asp; Gln7/Lys, Leu33/Ile, Leu63/Ile; Ala71/Thr, Val82/Ala. We suggest that the energetic fluctuation (electrostatic, van der Waals and torsion energy) of the mutants and the solvent accessible surface (SAS) values can be useful to explain the viral resistance process developed by HIV-1 PR. The number and localization of enzyme mutations induce important modifications of the van der Waals and torsional energy, while the electrostatic energy has an insignificant fluctuation. We showed that the viral resistance can be explored if the solvent accessible surfaces of the active site for the mutant structures are calculated. In this paper we have obtained the solvent accessible surface for a group of 15 mutants (11 mutants obtained by Protein Data Bank (PDB) file, 4 mutants modeled by CHARMM software) and for the wild type HIV-1 PR). Our study try to show that the number and localization of the mutations are factors which induce the HIV-1 PR viral resistance. The larger solvent accessible surface could be recorded for the point mutant Val 82/Phe.

A quantitative structure-activity relationship study on some HIV-1 protease inhibitors using molecular connectivity index

A quantitative structure-activity relationship (QSAR) study has been made on two different series of tetrahydropyrimidinones acting as HIV-1 protease inhibitors. A structural parameter, the first order valence molecular connectivity index ((1)chi(v)), has been used to account for the variation in the activity. The protease inhibition activity as well as the antiviral potency of the compounds are found to be significantly correlated with (1)chi(v) of P(2)/P(2') substituents attached to the two nitrogens N1 and N3, suggesting that substituents containing less electronegative and more saturated atoms, meaning thereby the less polar or more hydrophobic substituents, will be more advantageous. Further, if P(2) and P(2') are dissimilar, the former is found to be more effective than the latter. This difference is attributed to a conformational change in the enzyme that may be more favorable to P(2) binding than to P(2') binding.