FLAVIVIRUSES 1103 Background and Classification 1103 Structure and Physical Properties of the Virion 1104 Binding and Entry 1105 Genome Structure 1106 Translation and Proteolytic Processing 1107 Features of the Structural Proteins 1108 Features of the Nonstructural Proteins 1109 RNA Replication 1112 Membrane Reorganization and the Compartmentalization of Flavivirus Replication 1112 Assembly and Release of Particles from Flavivirus-infected Cells 1112 Host Resistance to Flavivirus Infection 1113

Flaviviridae :T he Viruses and Their Replication

Publisher Summary This chapter summarizes the current understanding of the molecular biology of flaviviruses and points out promising avenues for future work. The molecular biology of flaviviruses is best understood in the context of the viral life cycle, which provides a framework for the organization of this chapter. Flavivirus particles bind to cells via interactions between the viral surface glycoprotein and cellular receptors. Several cell surface proteins have been described as putative receptors. In addition, opsonization with immunoglobulins enhances virus particle binding and infection of cells expressing immunoglobulin Fc receptors. Virions are internalized into clathrin-coated pits via receptor-mediated endocytosis. It is thought that virions are brought into a prelysosomal endocytic compartment where low pH induces fusion among the viruses and host cell membranes to release the virus nucleocapsid. The viral genome is released into the host cytoplasm by the process of nucleocapsid uncoating, which is not yet fully understood. Translation of the viral genome produces proteins that lead to replication of the viral genome and assembly of new virus particles. Flavivirus infection induces rearrangement of cytoplasmic membranes in the perinuclear region. Virus particles are thought to assemble by budding into the endoplasmic reticulum. A few studies have shown evidence for budding at the plasma membrane. Based on trans-complementation studies, it appears that genome packaging is coupled to RNA replication. Nascent virus particles pass through the host secretory pathway, where virion maturation occurs, and are released.

Molecular biology of flaviviruses.

Processing of the hepatitis C virus (HCV) H strain polyprotein yields at least nine distinct cleavage products: NH2-C-E1-E2-NS2-NS3-NS4A-NS4B-NS5A-NS5B-CO OH. As described in this report, site-directed mutagenesis and transient expression analyses were used to study the role of a putative serine proteinase domain, located in the N-terminal one-third of the NS3 protein, in proteolytic processing of HCV polyproteins. All four cleavages which occur C terminal to the proteinase domain (3/4A, 4A/4B, 4B/5A, and 5A/5B) were abolished by substitution of alanine for either of two predicted residues (His-1083 and Ser-1165) in the proteinase catalytic triad. However, such substitutions have no observable effect on cleavages in the structural region or at the 2/3 site. Deletion analyses suggest that the structural and NS2 regions of the polyprotein are not required for the HCV NS3 proteinase activity. NS3 proteinase-dependent cleavage sites were localized by N-terminal sequence analysis of NS4A, NS4B, NS5A, and NS5B. Sequence comparison of the residues flanking these cleavage sites for all sequenced HCV strains reveals conserved residues which may play a role in determining HCV NS3 proteinase substrate specificity. These features include an acidic residue (Asp or Glu) at the P6 position, a Cys or Thr residue at the P1 position, and a Ser or Ala residue at the P1' position.

Characterization of the hepatitis C virus-encoded serine proteinase: determination of proteinase-dependent polyprotein cleavage sites.

We have studied processing of the nonstructural (NS) polyprotein of the hepatitis C virus. A series of cDNAs corresponding to predicted NS2/3/4 or NS3/4 regions were constructed, and processing of the polyproteins was studied in an in vitro transcription-translation system. We report that a catalytically active serine-type proteinase is encoded by the NS3 region. Substitution of the serine residue of the putative catalytic triad (H, D, and S) by alanine blocked cleavage at the NS3/4 junction, while processing between NS2 and NS3 was not affected. Thus, cleavage at the NS2/3 junction is mediated either by cellular enzymes or by an NS-2 inherent proteinase activity. Deletion analysis of an NS3/4 cDNA construct mapped the amino terminus of the enzymatically active proteinase between amino acids 1049 and 1065 of the polyprotein. As internal deletions of variable segments of the presumed helicase domain prevented processing at the NS314 junction, a continuous NS3 region appears to be required for processing at this site. To analyze hepatitis C virus polyprotein cleavage in vivo, recombinant vaccinia viruses expressing NS2/3/4 or NS3/4/5 proteins were generated. In agreement with the in vitro data, cleavage between NS2 and NS3 was independent of a catalytically active NS3 proteinase, whereas substitution of the active-site serine residue by the amino acid alanine completely blocked processing at the NS3/4 and NS4/5 junctions. These results demonstrate that NS3 encodes the viral proteinase essential for generating the amino termini of NS4 and NS5.

Nonstructural protein 3 of the hepatitis C virus encodes a serine-type proteinase required for cleavage at the NS3/4 and NS4/5 junctions.

Hepatitis C virus (HCV) possesses a positive-sense RNA genome which encodes a large polyprotein of 3,010 amino acids. Previous data and sequence analysis have indicated that this polyprotein is processed by cellular proteases and possibly by a virally encoded serine protease localized in the N-terminal domain of nonstructural protein NS3. To characterize the molecular aspects of HCV protein biogenesis and to clearly identify the protein products derived from the HCV genome, we have examined HCV polyprotein expression by using the vaccinia virus T7 transient expression system in transfected cells and by cell-free translation studies. HCV proteins were identified by immunoprecipitation with region-specific antisera. Here we show that the amino-terminal region of the HCV polyprotein is processed in vitro by cellular proteases releasing three structural proteins: p21 (core), gp37 (E1), and gp61 (E2). Processing of the nonstructural region of HCV was evident in transfected cells. Two proteins of 24 and 68 kDa were immunoprecipitated with anti-NS2 and NS3 antisera, respectively. Antiserum against NS4 recognized three proteins of 6, 26, and 31 kDa, while antisera specific for NS5 immunoprecipitated two polypeptides of 56 and 65 kDa, indicating that each of these two genes encodes at least two different proteins. When the NS3 protease domain was inactivated by replacing the proposed catalytic Ser-1165 with Ala, processing at several sites was abolished. When Ser-1164 was mutated to Ala, no effect on the processing was observed. Cleavage activities at three of the four sites affected by NS3 were shown to occur in trans, while processing at the carboxy terminus of NS3 could not be mediated in trans. These results provide a detailed description of the protein products obtained from the processing of the HCV polyprotein. Furthermore, the data obtained implicate NS3 as a serine protease and demonstrate that a catalytically active NS3 is necessary for cleavage of the nonstructural region of HCV.

NS3 is a serine protease required for processing of hepatitis C virus polyprotein.

The cleavages at the junctions of the flavivirus nonstructural (NS) proteins NS2A/NS2B, NS2B/NS3, NS3/NS4A, and NS4B/NS5 share an amino acid sequence motif and are presumably catalyzed by a virus-encoded protease. We constructed recombinant vaccinia viruses expressing various portions of the NS region of the dengue virus type 4 polyprotein. By analyzing immune precipitates of 35S-labeled lysates of recombinant virus-infected cells, we could monitor the NS2A/NS2B, NS2B/NS3, and NS3/NS4A cleavages. A polyprotein composed of NS2A, NS2B, and the N-terminal 184 amino acids of NS3 was cleaved at the NS2A/NS2B and NS2B/NS3 junctions, whereas a similar polyprotein containing only the first 77 amino acids of NS3 was not cleaved. This finding is consistent with the proposal that the N-terminal 180 amino acids of NS3 constitute a protease domain. Polyproteins containing NS2A and NS3 with large in-frame deletions of NS2B were not cleaved at the NS2A/NS2B or NS2B/NS3 junctions. Coinfection with a recombinant expressing NS2B complemented these NS2B deletions for NS2B/NS3 cleavage and probably also for NS2A/NS2B cleavage. Thus, NS2B is also required for the NS2A/NS2B and NS2B/NS3 cleavages and can act in trans. Other experiments showed that NS2B was needed, apparently in cis, for NS3/NS4A cleavage and for a series of internal cleavages in NS3. Indirect evidence that NS3 can also act in trans was obtained. Models are discussed for a two-component protease activity requiring both NS2B and NS3.

Both nonstructural proteins NS2B and NS3 are required for the proteolytic processing of dengue virus nonstructural proteins.

Sparse Gaussian process regression for multi-step ahead forecasting of wind gusts combining numerical weather predictions and on-site measurements

Massive data that provide valuable information regarding the structural behavior are continuously collected by the structural health monitoring (SHM) system. The quality of monitoring data is directly related to the accuracy of the structural condition assessment and maintenance decisions. Data missing is a common and challenging issue in SHM, compromising the reliability of data-driven methods. Thus, the accurate reconstruction of missing SHM data is an essential step for the reliable evaluation of the structural condition. Data recovery can be considered as a regression task by modeling the correlation among sensors. The Bayesian linear regression (BLR) model has been extensively used in probabilistic regression analysis due to its efficiency and the ability of uncertainty quantification. However, because of the fixed coefficients (refer to a static model) and linear assumption, the BLR model fails to accurately capture the relationship and accommodate the changes in related variables. Given this limitation, this study presents a Bayesian dynamic regression (BDR) method to reconstruct the missing SHM data. The BDR model assumes that the linear form is only locally suitable, and the regression variable varies according to a random walk. In particular, the multivariate BDR model can reconstruct the missing data of different sensors simultaneously. The Kalman filter and expectation maximum (EM) algorithms are employed to estimate the state variables (regressors) and parameters. The feasibility of the multivariate BDR model is demonstrated by utilizing the data from a building model and a long-span cable-stayed bridge. The results show that the multivariate BDR model exhibits excellent performance to rebuild the missing data in terms of both computational efficiency and accuracy. Compared to the standard BLR and linear BDR models, the quadratic BDR model owns better reconstruction accuracy.

Bayesian dynamic regression for reconstructing missing data in structural health monitoring

Monitoring-based analysis of wind-induced vibrations of ultra-long stay cables during an exceptional wind event

The cables of the long-span bridge are usually featured as ultra-low frequency, hence making the acceleration unable to accurately capture the information, e.g. damping ratios, for assessing the cable state assessment and mitigating the excessive structural vibration. The displacement was approved to be more sensitive to the low-frequency vibration than the acceleration. However, there is still a lack of effective method to accurately monitor the long-term displacements of bridge cables using reference-free methods. To address this issue, this paper develops a novel acceleration-based approach for monitoring the long-term displacements of the cables of long-span bridges. In the monitoring scheme, recursive least squares method is utilized to conduct baseline correction in the time domain integration of acceleration. An adaptive band-pass filtering method considering cable vibration characteristics is used to eliminate noise, thus avoiding the difficulty of selecting the cut-off frequency by experience in traditional methods. A numerical test of an analytical cable model and a field experiment of the hanger of a full-scale suspension bridge are applied to the applicability and robustness of the developed method. Result shows that adaptive band-pass filter considering the vibration characteristics is suitable for estimating the displacements of the cables. The estimated displacements using the developed method agree well with the background truth in both time and frequency domains. 

Yi-Ming Zhang

Papers

Both nonstructural proteins NS2B and NS3 are required for the proteolytic processing of dengue virus nonstructural proteins.

Sparse Gaussian process regression for multi-step ahead forecasting of wind gusts combining numerical weather predictions and on-site measurements

Bayesian dynamic regression for reconstructing missing data in structural health monitoring

Monitoring-based analysis of wind-induced vibrations of ultra-long stay cables during an exceptional wind event

A novel acceleration-based approach for monitoring the long-term displacement of bridge cables