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P Pungpo

Publications and source records attributed to P Pungpo.

4 recordsLinked to original sources

Conformational analysis of nevirapine, a non-nucleoside HIV-1 reverse transcriptase inhibitor, based on quantum mechanical calculations.

The structure and the conformational behavior of the HIV-1 reverse transcriptase inhibitor, 11-cyclopropyl-5,11dihydro-4-methyl-6H-dipyrido[3,2-b2',3'-e][1,4]diazepin-6-one (nevirapine), is investigated by semiempirical (MNDO, AMI and PM3) method, ab initio at the HF/3-21G and HF/6-31G** levels and density functional theory at the B3LYP/6-31G** level. The fully optimized structure and rotational potential of the nitrogen and carbon bond in the cyclopropyl ring were examined in detail. A similar geometrical minimum is obtained from all methods which shows an almost identical structure to the geometry of the molecule in the complex structure with HIV-1 reverse transcriptase. To get some information on the structure in solution, NMR chemical shift calculations were also performed by a density functional theory at the B3LYP/6-31G** level, using GIAO approximation. The calculated 1H-NMR and 13C-NMR spectra for the energy minimum geometry agree well with the experimental results, which indicated that the geometry of nevirapine in solution is very similar to that of the molecule in the inhibition complex. Furthermore, the obtained results are compared to the conformational studies of other non-nucleoside reverse transcriptase inhibitors and reveal a common agreement of the non-nucleoside reverse transcriptase inhibitors. The specific butterfly-like shape and conformational flexibility within the side chain of the non-nucleoside reverse transcriptase inhibitors play an important role inducing conformational change of HIV-1 reverse transcriptase structure and are essential for the association at the inhibition pocket.

Anti-HIV Agents↗

Three-dimensional quantitative structure-activity relationships study on HIV-1 reverse transcriptase inhibitors in the class of dipyridodiazepinone derivatives, using comparative molecular field analysis.

A three-dimensional quantitative structure-activity relationships (3D QSAR) method, Comparative Molecular Field Analysis (CoMFA), was applied to a set of dipyridodiazepinone (nevirapine) derivatives active against wild-type (WT) and mutant-type (Y181C) HIV-1 reverse transcriptase. The starting geometry of dipyridodiazepinone was taken from X-ray crystallographic data. All 75 derivatives, divided into a training set of 53 compounds and a test set of 22 molecules, were then constructed and full geometrical optimizations were performed, based on a semiempirical molecular orbital method (AM1). CoMFA was used to discriminate between structural requirements for WT and Y181C inhibitory activities. The resulting CoMFA models yield satisfactory predictive ability regarding WT and Y181C inhibitions, with r2 cv = 0.624 and 0.726, respectively. CoMFA contour maps reveal that steric and electrostatic interactions corresponding to the WT inhibition amount to 58.5% and 41.5%, respectively, while steric and electrostatic effects have approximately equal contributions for the explanation of inhibitory activities against Y181C. The contour maps high-light different characteristics for different types of wild-type and mutant-type HIV-1 RT. In addition, these contour maps agree with experimental data for the binding topology. Consequently, the results obtained provide information for a better understanding of the inhibitor-receptor interactions of dipyridodiazepinone analogs.

Anti-HIV Agents↗

Quantitative structure-activity relationships and comparative molecular field analysis of TIBO derivatised HIV-1 reverse transcriptase inhibitors.

Quantitative structure-activity relationships (QSAR) and Comparative Molecular Field Analysis (CoMFA) have been applied in order to explain the structural requirements of HIV-1 reverse transcriptase (HIV-1 RT) inhibitory activity of TIBO derivatives on the MT-4 cells. The best QSAR model is satisfactory in both statistical significance and predictive ability. The derived structural descriptors indicate the importance of electronic contributions toward the HIV-1 RT inhibition of this class of compounds. However, it could not reveal any hydrophobic influence because of high collinearity between C2 and log P variables. In order to cope with steric interaction in the correlation, 3D-QSAR was performed using CoMFA. The obtained CoMFA model shows high predictive ability, rcv2 = 0.771, and clearly demonstrates its potential in the steric feature of the molecules through contour maps, explaining a majority (81.8%) of the variance in the data. Consequently, these results can be useful in identifying the structural requirements of TIBO derivatives and helpful for better understanding the HIV-1 RT inhibition. Eventually, they provide a beneficial basis to design new and more potent inhibitors of HIV-1 RT.

Benzodiazepines↗

3D-quantitative structure-activity relationships of HEPT derivatives as HIV-1 reverse transcriptase inhibitors, based on Ab initio calculations.

Comparative molecular field analysis (CoMFA) has been applied to a large set of 1-[(2-hydroxyethoxy)methyl]-6-(phenylthio)thymine (HEPT) analogues. The starting geometry of HEPT was obtained from crystallographic data of HEPT/HIV-1 reverse transcriptase (RT) complexes. The structures of 101 HEPT derivatives were considered and fully optimized by ab initio molecular orbital calculations at the HF/3-21G level. The best CoMFA model is satisfactory in both statistical significance and predictive ability. It shows excellent, high predictive ability as r2cv = 0.858. The derived model indicates the importance of steric contributions (64.4%) as well as electrostatic interactions for the HIV-1 RT inhibition. In addition, steric and electrostatic contour maps from this analysis agree well with the experimentally observed trend that there are steric interactions between the side chain of HEPT and an aromatic ring of Tyr181. It is concluded that a moderately sized group at C5 enhances contact with Tyr181 enough to push it into a position which renders the protein nonfunctional, but a smaller group has insufficient steric requirements to do this and a larger group renders the ligand too large for the cavity. The mutation-induced resistance of reverse transcriptase is explained by this analysis. The obtained results not only lead to a better understanding of structural requirements of this set of compounds for the inhibition but also enable the suggestions for new and more potent drugs.

Algorithms↗