Molecular dynamics simulations and Gaussian network model for designing antibody mimicking protein towards dengue envelope protein
Document Type
Article
Publication Date
1-1-2022
Abstract
The number of people infected with dengue, as reported by WHO, reaches 390 million yearly, and the global incidence of dengue has grown tremendously. Specific drugs for treating dengue are under development while several antibodies bound to domain III (DIII) envelope (E) protein of dengue virus (DENV) were found to prevent the viral entry process. In this study, designed ankyrin repeat proteins (DARPins), one of the versatile scaffolds for protein-protein interactions were explored for their potential in mimicking the interactions of antibodies to bind with domain III (DIII) E protein of DENV-2. DARPin and DIII complexes were first generated through molecular docking process and underwent molecular dynamics simulations on AMBER14 programme for 100 ns. Free energy calculations were performed under Molecular Mechanics Generalized Born Surface Area (MM-GBSA) to predict the binding affinity of the proteins and also locate the important residues on the binding interface. DARPin template with higher potential for DIII DENV-2 was then further designed through computational site-directed mutagenesis to improve its binding affinity for DIII DENV-2. Gaussian Network Model (GNM), an elastic network model, was then used to investigate the global mode shape or, in other words, dynamics of the proteins. Minima of global mode shape were residues with restricted motion, and some of them were important residues involved in binding interactions. Global mode shape and binding free energy were observed to be correlated as protein complex with low binding free energy has a lower mode shape, or lower mobility. The simulated techniques provide valuable tools in understanding the structural dynamics and energy contribution in designing the DARPins in their binding to the E protein of DENV-2. (C) 2021 Elsevier B.V. All rights reserved.
Keywords
DARPins, Dengue, Molecular dynamics simulations, Gaussian network model, Global mode shape
Divisions
Science
Funders
Ministry of Higher Education (MOHE) through Fundamental Research Grant Scheme [Grant No: FRGS/1/2019/STG03/UM/02/8],National Research Council of Thailand (NRCT) [Grant No: NRCT 808/2563],Office of National Higher Education Science Research and Innovation Policy Council,Program Management Unit for Human Resources & Institutional Development, Research and Innovation [Grant No: B05F630102],National Science and Technology Development Agency (NSTDA),National Research University project under Thailand's Office of the Higher Education Commission,Center of Excellence for Innovation in Analytical Science and Technology (I-ANALY-S-T),Chiang Mai University, Thailand [Grant No: R000026614]
Publication Title
Journal of Molecular Liquids
Volume
346
Publisher
Elsevier
Publisher Location
RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS