Literature DB >> 26923377

Conformational flexibility of DENV NS2B/NS3pro: from the inhibitor effect to the serotype influence.

Erika Piccirillo1, Benjamin Merget2, Christoph A Sotriffer2, Antonia T do Amaral3.   

Abstract

The dengue virus (DENV) has four well-known serotypes, namely DENV1 to DENV4, which together cause 50-100 million infections worldwide each year. DENV NS2B/NS3pro is a protease recognized as a valid target for DENV antiviral drug discovery. However, NS2B/NS3pro conformational flexibility, involving in particular the NS2B region, is not yet completely understood and, hence, a big challenge for any virtual screening (VS) campaign. Molecular dynamics (MD) simulations were performed in this study to explore the DENV3 NS2B/NS3pro binding-site flexibility and obtain guidelines for further VS studies. MD simulations were done with and without the Bz-nKRR-H inhibitor, showing that the NS2B region stays close to the NS3pro core even in the ligand-free structure. Binding-site conformational states obtained from the simulations were clustered and further analysed using GRID/PCA, identifying four conformations of potential importance for VS studies. A virtual screening applied to a set of 31 peptide-based DENV NS2B/NS3pro inhibitors, taken from literature, illustrated that selective alternative pharmacophore models can be constructed based on conformations derived from MD simulations. For the first time, the NS2B/NS3pro binding-site flexibility was evaluated for all DENV serotypes using homology models followed by MD simulations. Interestingly, the number of NS2B/NS3pro conformational states differed depending on the serotype. Binding-site differences could be identified that may be crucial to subsequent VS studies.

Entities:  

Keywords:  Conformational flexibility; Dengue virus; Molecular dynamics simulations; NS2B/NS3 protease

Mesh:

Substances:

Year:  2016        PMID: 26923377     DOI: 10.1007/s10822-016-9901-8

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


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