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.
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.
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