Molecular dynamics study of the membrane interaction of a membranotropic dengue virus C protein-derived peptide

Anticorrelated position fluctuation of lipids in forming membrane water pores: molecular dynamics simulations study with dengue virus capsid protein

The traffic of molecules into or out of cells is regulated by many membrane-associated mechanisms. Membrane pores are considered as one of the major passage mechanisms, although molecular-level understanding of pore formation is still vague. The opening of a membrane pore depends on many factors, including the influence of some proteins. The ability of the cell-penetrating peptides and supercharged proteins to form membrane pores has been reported. We studied pore formation through dipalmitoylphosphatidylcholine (DPPC) lipid bilayers by supercharged dengue virus capsid (C) protein. Atomistic molecular dynamics simulations confirmed the formation of membrane pores by a combined effect of the C protein and the membrane electric field. Analyses of simulated trajectories showed highly correlated vertical position fluctuations between the C_α atom of the membrane-anchored arginine residues and the phosphorus atoms of the surrounding DPPC lipids. Certain regions of the bilayer were negatively correlated while the others were positively correlated with respect to the fluctuations of the C_α atom of the anchored arginine residues. When positively correlated lipids in one leaflet vertically aligned with the negatively correlated lipids in the other leaflet, a local anticorrelated region was generated by weakening the bilayer. The membrane pore was always formed close to this anticorrelated region. Once formed, the C protein followed the hydrated pathway provided by the water-filled pores to cross the membrane.Communicated by Ramaswamy H. Sarma.

Immunoinformatics design of a novel epitope-based vaccine candidate against dengue virus

Dengue poses a global health threat, which will persist without therapeutic intervention. Immunity induced by exposure to one serotype does not confer long-term protection against secondary infection with other serotypes and is potentially capable of enhancing this infection. Although vaccination is believed to induce durable and protective responses against all the dengue virus (DENV) serotypes in order to reduce the burden posed by this virus, the development of a safe and efficacious vaccine remains a challenge. Immunoinformatics and computational vaccinology have been utilized in studies of infectious diseases to provide insight into the host-pathogen interactions thus justifying their use in vaccine development. Since vaccination is the best bet to reduce the burden posed by DENV, this study is aimed at developing a multi-epitope based vaccines for dengue control. Combined approaches of reverse vaccinology and immunoinformatics were utilized to design multi-epitope based vaccine from the sequence of DENV. Specifically, BCPreds and IEDB servers were used to predict the B-cell and T-cell epitopes, respectively. Molecular docking was carried out using Schrödinger, PATCHDOCK and FIREDOCK. Codon optimization and in silico cloning were done using JCAT and SnapGene respectively. Finally, the efficiency and stability of the designed vaccines were assessed by an in silico immune simulation and molecular dynamic simulation, respectively. The predicted epitopes were prioritized using in-house criteria. Four candidate vaccines (DV-1-4) were designed using suitable adjuvant and linkers in addition to the shortlisted epitopes. The binding interactions of these vaccines against the receptors TLR-2, TLR-4, MHC-1 and MHC-2 show that these candidate vaccines perfectly fit into the binding domains of the receptors. In addition, DV-1 has a better binding energies of - 60.07, - 63.40, - 69.89 kcal/mol against MHC-1, TLR-2, and TLR-4, with respect to the other vaccines. All the designed vaccines were highly antigenic, soluble, non-allergenic, non-toxic, flexible, and topologically assessable. The immune simulation analysis showed that DV-1 may elicit specific immune response against dengue virus. Moreover, codon optimization and in silico cloning validated the expressions of all the designed vaccines in E. coli. Finally, the molecular dynamic study shows that DV-1 is stable with minimum RMSF against TLR4. Immunoinformatics tools are now applied to screen genomes of interest for possible vaccine target. The designed vaccine candidates may be further experimentally investigated as potential vaccines capable of providing definitive preventive measure against dengue virus infection.

Structure and function of capsid protein in flavivirus infection and its applications in the development of vaccines and therapeutics

Flaviviruses are enveloped single positive-stranded RNA viruses. The capsid (C), a structural protein of flavivirus, is dimeric and alpha-helical, with several special structural and functional features. The functions of the C protein go far beyond a structural role in virions. It is not only responsible for encapsidation to protect the viral RNA but also able to interact with various host proteins to promote virus proliferation. Therefore, the C protein plays an important role in infected host cells and the viral life cycle. Flaviviruses have been shown to affect the health of humans and animals. Thus, there is an urgent need to effectively control flavivirus infections. The structure of the flavivirus virion has been determined, but there is relatively little information about the function of the C protein. Hence, a greater understanding of the role of the C protein in viral infections will help to discover novel antiviral strategies and provide a promising starting point for the further development of flavivirus vaccines or therapeutics.

Emerging Diversity in Lipid-Protein Interactions

Membrane lipids interact with proteins in a variety of ways, ranging from providing a stable membrane environment for proteins to being embedded in to detailed roles in complicated and well-regulated protein functions. Experimental and computational advances are converging in a rapidly expanding research area of lipid-protein interactions. Experimentally, the database of high-resolution membrane protein structures is growing, as are capabilities to identify the complex lipid composition of different membranes, to probe the challenging time and length scales of lipid-protein interactions, and to link lipid-protein interactions to protein function in a variety of proteins. Computationally, more accurate membrane models and more powerful computers now enable a detailed look at lipid-protein interactions and increasing overlap with experimental observations for validation and joint interpretation of simulation and experiment. Here we review papers that use computational approaches to study detailed lipid-protein interactions, together with brief experimental and physiological contexts, aiming at comprehensive coverage of simulation papers in the last five years. Overall, a complex picture of lipid-protein interactions emerges, through a range of mechanisms including modulation of the physical properties of the lipid environment, detailed chemical interactions between lipids and proteins, and key functional roles of very specific lipids binding to well-defined binding sites on proteins. Computationally, despite important limitations, molecular dynamics simulations with current computer power and theoretical models are now in an excellent position to answer detailed questions about lipid-protein interactions.

Exploring dengue proteome to design an effective epitope-based vaccine against dengue virus

Dengue, a mosquito-borne disease, is caused by four known dengue serotypes. This infection causes a range of symptoms from a mild fever to a sever homorganic fever and death. It is a serious public health problem in subtropical and tropical countries. There is no specific vaccine currently available for clinical use and study on this issue is ongoing. In this study, bioinformatics approaches were used to predict antigenic, immunogenic, non-allergenic, and conserved B and T-cell epitopes as promising targets to design an effective peptide-based vaccine against dengue virus. Molecular docking analysis indicated the deep binding of the identified epitopes in the binding groove of the most popular human MHC I allele (human leukocyte antigens [HLA] A*0201). The final vaccine construct was created by conjugating the B and T-cell identified epitopes using proper linkers and adding an appropriate adjuvant at the N-terminal. The characteristics of the new subunit vaccine demonstrated that the epitope-based vaccine was antigenic, non-toxic, stable, and soluble. Other physicochemical properties of the new designed construct including isoelectric point value, aliphatic index, and grand average of hydropathicity were biologically considerable. Molecular docking of the engineered vaccine with Toll-like receptor 2 (TLR2) model revealed the hydrophobic interaction between the adjuvant and the ligand binding regions in the hydrophobic channel of TLR2. The study results indicated the high potential capability of the new multi-epitope vaccine to induce cellular and humoral immune responses against the dengue virus. Further experimental tests are required to investigate the immune protection capacity of the new vaccine construct in animal models. Communicated by Ramaswamy H. Sarma.

In silico approaches to Zika virus drug discovery

INTRODUCTION

After the WHO declared Zika virus (ZIKV) as a public health emergency of international concern, intense research for the development of vaccines and drugs has been undertaken, leading to the development of several candidates. Areas covered: This review discusses the developments achieved so far by computational methods in the discovery of candidate compounds targeting ZIKV proteins, i.e. the envelope and capsid structural proteins, the NS3 helicase/protease, and the NS5 methyltransferase/RNA-dependent RNA polymerase. Expert opinion: Research for effective drugs against ZIKV is still in a very early discovery phase. Notwithstanding the intense efforts for the development of new drugs and the identification of several promising candidates by using different approaches, including computational methods, so far only a few candidates have been experimentally tested. An important caveat of anti-flavivirus drug development is represented by the difficult of reproducing the in vivo microenvironment of the replication complex, which may lead to discrepancies between in vitro results and experimental evaluation in vivo. Moreover, anti-ZIKV drugs have the additional requirement of an excellent safety profile in pregnancy and ability to diffuse to different tissues, including the central nervous system, the testis, and the placenta.

Spontaneous membrane insertion of a dengue virus NS2A peptide

Non-structural NS2A protein of Dengue virus is essential for viral replication but poorly characterized because of its high hydrophobicity. We have previously shown experimentally that NS2A possess a segment, peptide dens25, known to insert into membranes and interact specifically with negatively-charged phospholipids. To characterize its membrane interaction we have used two types of molecular dynamics membrane model systems, a highly mobile membrane mimetic (HMMM) and an endoplasmic reticulum (ER) membrane-like model. Using the HMMM system, we have been able of demonstrating the spontaneous binding of dens25 to the negatively-charged phospholipid 1,2-divaleryl-sn-glycero-3-phosphate containing membrane whereas no binding was observed for the membrane containing the zwitterionic one 1,2-divaleryl-sn-glycero-3-phosphocholine. Using the ER-like membrane model system, we demonstrate the spontaneous insertion of dens25 into the middle of the membrane, it maintained its three-dimensional structure and presented a nearly parallel orientation with respect to the membrane surface. Both charged and hydrophobic amino acids, presenting an interfacial/hydrophobic pattern characteristic of a membrane-proximal segment, are responsible for membrane binding and insertion. Dens25 might control protein/membrane interaction and be involved in membrane rearrangements critical for the viral cycle. These data should help us in the development of inhibitor molecules that target NS2A segments involved in membrane reorganisation.

Extension of the Highly Mobile Membrane Mimetic to Transmembrane Systems through Customized in Silico Solvents

The mechanics of the protein-lipid interactions of transmembrane proteins are difficult to capture with conventional atomic molecular dynamics, due to the slow lateral diffusion of lipids restricting sampling to states near the initial membrane configuration. The highly mobile membrane mimetic (HMMM) model accelerates lipid dynamics by modeling the acyl tails nearest to the membrane center as a fluid organic solvent while maintaining an atomic description of the lipid headgroups and short acyl tails. The HMMM has been applied to many peripheral protein systems; however, the organic solvent used to date caused deformations in transmembrane proteins by intercalating into the protein and disrupting interactions between individual side chains. We ameliorate the effect of the solvent on transmembrane protein structure through the development of two new in silico Lennard-Jones solvents. The parameters for the new solvents were determined through an extensive parameter search in order to match the bulk properties of alkanes in a highly simplified model. Using these new solvents, we substantially improve the insertion free energy profiles of 10 protein side chain analogues across the entire bilayer. In addition, we reduce the intercalation of solvent into transmembrane systems, resulting in native-like transmembrane protein structures from five different topological classes within a HMMM bilayer. The parametrization of the solvents, in addition to their computed physical properties, is discussed. By combining high lipid lateral diffusion with intact transmembrane proteins, we foresee the developed solvents being useful to efficiently identify membrane composition inhomogeneities and lipid binding caused by the presence of membrane proteins.