Literature DB >> 15815973

Comparative molecular dynamics simulations of HIV-1 integrase and the T66I/M154I mutant: binding modes and drug resistance to a diketo acid inhibitor.

Alessandro Brigo1, Keun Woo Lee, Federico Fogolari, Gabriela Iurcu Mustata, James M Briggs.   

Abstract

HIV-1 IN is an essential enzyme for viral replication and an interesting target for the design of new pharmaceuticals for use in multidrug therapy of AIDS. L-731,988 is one of the most active molecules of the class of beta-diketo acids. Individual and combined mutations of HIV-1 IN at residues T66, S153, and M154 confer important degrees of resistance to one or more inhibitors belonging to this class. In an effort to understand the molecular mechanism of the resistance of T66I/M154I IN to the inhibitor L-731,988 and its specific binding modes, we have carried out docking studies, explicit solvent MD simulations, and binding free energy calculations. The inhibitor was docked against different protein conformations chosen from prior MD trajectories, resulting in 2 major orientations within the active site. MD simulations have been carried out for the T66I/M154I DM IN, DM IN in complex with L-731,988 in 2 different orientations, and 1QS4 IN in complex with L-731,988. The results of these simulations show a similar dynamical behavior between T66I/M154I IN alone and in complex with L-731,988, while significant differences are observed in the mobility of the IN catalytic loop (residues 138-149). Water molecules bridging the inhibitor to residues from the active site have been identified, and residue Gln62 has been found to play an important role in the interactions between the inhibitor and the protein. This work provides information about the binding modes of L-731,988, as well as insight into the mechanism of inhibitor-resistance in HIV-1 integrase.

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Year:  2005        PMID: 15815973     DOI: 10.1002/prot.20447

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  11 in total

1.  Comparison of multiple molecular dynamics trajectories calculated for the drug-resistant HIV-1 integrase T66I/M154I catalytic domain.

Authors:  Alessandro Brigo; Keun Woo Lee; Gabriela Iurcu Mustata; James M Briggs
Journal:  Biophys J       Date:  2005-03-11       Impact factor: 4.033

2.  Structural dynamics of native and V260E mutant C-terminal domain of HIV-1 integrase.

Authors:  Balasubramanian Sangeetha; Rajagopalan Muthukumaran; Ramaswamy Amutha
Journal:  J Comput Aided Mol Des       Date:  2015-01-14       Impact factor: 3.686

3.  A quantum mechanic/molecular mechanic study of the wild-type and N155S mutant HIV-1 integrase complexed with diketo acid.

Authors:  Cláudio Nahum Alves; Sergio Martí; Raquel Castillo; Juan Andrés; Vicent Moliner; Iñaki Tuñón; Estanislao Silla
Journal:  Biophys J       Date:  2007-11-02       Impact factor: 4.033

4.  Evolutionary basis for the coupled-domain motions in Thermus thermophilus leucyl-tRNA synthetase.

Authors:  Kristina Mary Ellen Weimer; Brianne Leigh Shane; Michael Brunetto; Sudeep Bhattacharyya; Sanchita Hati
Journal:  J Biol Chem       Date:  2009-02-02       Impact factor: 5.157

5.  Exploring the binding of HIV-1 integrase inhibitors by comparative residue interaction analysis (CoRIA).

Authors:  Devendra K Dhaked; Jitender Verma; Anil Saran; Evans C Coutinho
Journal:  J Mol Model       Date:  2008-12-02       Impact factor: 1.810

6.  Electrostatic interactions play an essential role in DNA repair and cold-adaptation of uracil DNA glycosylase.

Authors:  Magne Olufsen; Arne O Smalås; Bjørn O Brandsdal
Journal:  J Mol Model       Date:  2008-01-15       Impact factor: 1.810

7.  Hybrid quantum mechanical/molecular mechanical molecular dynamics simulations of HIV-1 integrase/inhibitor complexes.

Authors:  Nadtanet Nunthaboot; Somsak Pianwanit; Vudhichai Parasuk; Jerry O Ebalunode; James M Briggs; Sirirat Kokpol
Journal:  Biophys J       Date:  2007-08-10       Impact factor: 4.033

8.  Binding modes of diketo-acid inhibitors of HIV-1 integrase: a comparative molecular dynamics simulation study.

Authors:  Meilan Huang; Guy H Grant; W Graham Richards
Journal:  J Mol Graph Model       Date:  2011-04-09       Impact factor: 2.518

Review 9.  Emerging methods for ensemble-based virtual screening.

Authors:  Rommie E Amaro; Wilfred W Li
Journal:  Curr Top Med Chem       Date:  2010       Impact factor: 3.295

Review 10.  Raltegravir: molecular basis of its mechanism of action.

Authors:  Jean-Francois Mouscadet; Luba Tchertanov
Journal:  Eur J Med Res       Date:  2009-11-24       Impact factor: 2.175

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