Literature DB >> 12116413

Conformational analysis of the HIV-1 virus reverse transcriptase nonnucleoside inhibitors: TIBO and nevirapine.

Odonírio Abrahão-Júnior1, Paulo G. B. D. Nascimento, Sérgio E. Galembeck.   

Abstract

TIBO (Tetrahydro-imidazo[4,5,1-jk][1,4]-benzodiazepin-2-one) and nevirapine (11-cyclopropyl-5,11-dihydro-4-methyl-6H-dipyrido[3,2-b:2',3'-e][1,4]diazepin-6-one) are models for two classes of nonnucleoside inhibitors of the HIV-1 virus reverse transcriptase (NNRTI). This work presents the parameterization of compounds belonging to these two classes in the Cornell et al. force field through ab initio and semiempirical methods. The new parameters were used in the conformational analysis for TIBO R82913, TIBO R79882, and nevirapine. Various conformational search protocols were tested and the pseudosystematic method SUMM led to the best results. A better understanding of the distribution of conformers was obtained through clustering techniques in the data reduction stages. It was possible to reproduce various experimental data such as the crystallographic structures of the isolated or reverse transcriptase-complexed (RT) molecules. The proton-proton coupling constants (\documentclass{article}\pagestyle{empty}\begin{document}$\,J^{3}_{\mathrm{HH}}$\end{document}) obtained for TIBO through NMR were also reproduced. Cremer and Pople puckering parameters enabled a precise description of both the conformation of the seven-membered rings and the relative position of the substituents on them. These parameters also demonstrated the efficiency and precision of the two-stage clustering method. Copyright 2001 John Wiley & Sons, Inc. J Comput Chem 22: 1817-1829, 2001

Entities:  

Year:  2001        PMID: 12116413     DOI: 10.1002/jcc.1133

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  2 in total

1.  Characteristic vibration patterns of odor compounds from bread-baking volatiles upon protein binding: density functional and ONIOM study and principal component analysis.

Authors:  Witcha Treesuwan; Hajime Hirao; Keiji Morokuma; Supa Hannongbua
Journal:  J Mol Model       Date:  2011-09-27       Impact factor: 1.810

2.  Force-field parametrization of retro-inverso modified residues: development of torsional and electrostatic parameters.

Authors:  David Curcó; Francisco Rodríguez-Ropero; Carlos Alemán
Journal:  J Comput Aided Mol Des       Date:  2006-04-19       Impact factor: 3.686

  2 in total

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