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      Dengue virus nonstructural 3 protein interacts directly with human glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and reduces its glycolytic activity

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          Abstract

          Dengue is an important mosquito-borne disease and a global public health problem. The disease is caused by dengue virus (DENV), which is a member of the Flaviviridae family and contains a positive single-stranded RNA genome that encodes a single precursor polyprotein that is further cleaved into structural and non-structural proteins. Among these proteins, the non-structural 3 (NS3) protein is very important because it forms a non-covalent complex with the NS2B cofactor, thereby forming the functional viral protease. NS3 also contains a C-terminal ATPase/helicase domain that is essential for RNA replication. Here, we identified 47 NS3-interacting partners using the yeast two-hybrid system. Among those partners, we highlight several proteins involved in host energy metabolism, such as apolipoprotein H, aldolase B, cytochrome C oxidase and glyceraldehyde-3-phosphate dehydrogenase (GAPDH). GAPDH directly binds full-length NS3 and its isolated helicase and protease domains. Moreover, we observed an intense colocalization between the GAPDH and NS3 proteins in DENV2-infected Huh7.5.1 cells, in NS3-transfected BHK-21 cells and in hepatic tissue from a fatal dengue case. Taken together, these results suggest that the human GAPDH-DENV NS3 interaction is involved in hepatic metabolic alterations, which may contribute to the appearance of steatosis in dengue-infected patients. The interaction between GAPDH and full-length NS3 or its helicase domain in vitro as well as in NS3-transfected cells resulted in decreased GAPDH glycolytic activity. Reduced GAPDH glycolytic activity may lead to the accumulation of metabolic intermediates, shifting metabolism to alternative, non-glycolytic pathways. This report is the first to identify the interaction of the DENV2 NS3 protein with the GAPDH protein and to demonstrate that this interaction may play an important role in the molecular mechanism that triggers hepatic alterations.

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          Dengue virus pathogenesis: an integrated view.

          Much remains to be learned about the pathogenesis of the different manifestations of dengue virus (DENV) infections in humans. They may range from subclinical infection to dengue fever, dengue hemorrhagic fever (DHF), and eventually dengue shock syndrome (DSS). As both cell tropism and tissue tropism of DENV are considered major determinants in the pathogenesis of dengue, there is a critical need for adequate tropism assays, animal models, and human autopsy data. More than 50 years of research on dengue has resulted in a host of literature, which strongly suggests that the pathogenesis of DHF and DSS involves viral virulence factors and detrimental host responses, collectively resulting in abnormal hemostasis and increased vascular permeability. Differential targeting of specific vascular beds is likely to trigger the localized vascular hyperpermeability underlying DSS. A personalized approach to the study of pathogenesis will elucidate the basis of individual risk for development of DHF and DSS as well as identify the genetic and environmental bases for differences in risk for development of severe disease.
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            Protein structure modeling with MODELLER.

            Genome sequencing projects have resulted in a rapid increase in the number of known protein sequences. In contrast, only about one-hundredth of these sequences have been characterized using experimental structure determination methods. Computational protein structure modeling techniques have the potential to bridge this sequence-structure gap. This chapter presents an example that illustrates the use of MODELLER to construct a comparative model for a protein with unknown structure. Automation of similar protocols (correction of protcols) has resulted in models of useful accuracy for domains in more than half of all known protein sequences.
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              ClusPro: a fully automated algorithm for protein-protein docking.

              ClusPro (http://nrc.bu.edu/cluster) represents the first fully automated, web-based program for the computational docking of protein structures. Users may upload the coordinate files of two protein structures through ClusPro's web interface, or enter the PDB codes of the respective structures, which ClusPro will then download from the PDB server (http://www.rcsb.org/pdb/). The docking algorithms evaluate billions of putative complexes, retaining a preset number with favorable surface complementarities. A filtering method is then applied to this set of structures, selecting those with good electrostatic and desolvation free energies for further clustering. The program output is a short list of putative complexes ranked according to their clustering properties, which is automatically sent back to the user via email.
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                Author and article information

                Contributors
                mohana@biof.ufrj.br
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                25 February 2019
                25 February 2019
                2019
                : 9
                : 2651
                Affiliations
                [1 ]ISNI 0000 0001 2294 473X, GRID grid.8536.8, Laboratório de Genômica Estrutural, Instituto de Biofísica Carlos Chagas Filho, , Universidade Federal do Rio de Janeiro, ; Rio de Janeiro, RJ 21941-590 Brazil
                [2 ]ISNI 0000 0001 2294 473X, GRID grid.8536.8, Departamento de Biotecnologia Farmacêutica, Faculdade de Farmácia, , Universidade Federal do Rio de Janeiro, ; Rio de Janeiro, RJ Brazil
                [3 ]ISNI 0000 0001 2294 473X, GRID grid.8536.8, Instituto de Biodiversidade e Sustentabilidade (NUPEM/UFRJ), , Universidade Federal do Rio de Janeiro, ; Macaé, RJ Brazil
                [4 ]ISNI 0000 0001 0723 0931, GRID grid.418068.3, Laboratório Interdisciplinar de Pesquisa Médica, Instituto Oswaldo Cruz, , Fundação Oswaldo Cruz, ; Rio de Janeiro, RJ Brazil
                [5 ]GRID grid.412211.5, Laboratório de Ultraestrutura e Biologia Tecidual, , Universidade Estadual do Rio de Janeiro, ; Rio de Janeiro, RJ Brazil
                [6 ]ISNI 0000 0001 2294 473X, GRID grid.8536.8, Laboratório de Física Biológica, Instituto de Biofísica Carlos Chagas Filho, , Universidade Federal do Rio de Janeiro, ; Rio de Janeiro, RJ 21941-590 Brazil
                Article
                39157
                10.1038/s41598-019-39157-7
                6389977
                30804377
                49499bf2-3fc9-4ddf-a744-7c6a07533397
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 27 March 2018
                : 16 January 2019
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100003593, Ministry of Science, Technology and Innovation | Conselho Nacional de Desenvolvimento Científico e Tecnológico (National Council for Scientific and Technological Development);
                Award ID: 475104/2012-9
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100004586, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro (Carlos Chagas Filho Foundation for Research Support in the State of Rio de Janeiro);
                Award ID: E26/102.356/2013
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100001688, International Centre for Genetic Engineering and Biotechnology (ICGEB);
                Award ID: CRP/BRA15-02
                Award Recipient :
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