Genomics, proteomics and evolution of dengue virus

Dwivedi, Vivek Dhar; Tripathi, I. P.; Tripathi, Ramesh C.; Bharadwaj, Shiv; Mishra, Sarad Kumar

doi:10.1093/bfgp/elw040

Cited by 49 publications

(41 citation statements)

References 132 publications

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“…Dengue virus (DENV) of Flaviviridae family has emerged as the lethal microbe that is transmitted in human population by the nimble (day-biting) of Aedes aegypti female mosquito and causes Dengue Fever, which has been broadly classified into two types; Dengue Hemorrhagic Fever and Dengue Shock Syndrome (Sarkar et al 1964;Gubler 1998;Guzman et al 2013). Both types of dengue fever are deadly infections occurred by five different serotypes of Dengue virus (DENV 1-5) (Sabin and Schlesinger 1945;Anderson et al 1956;Russell et al 1966;Anciotti et al 1997;Normile 2013;Mustafa et al 2015;Dwivedi et al 2017). DENV contained 10,723 nucleotides in the positive-sense single-strand RNA genome and encodes a 3391-protein monomeric unit for big polyprotein precursors for the virus.…”

Section: Introductionmentioning

confidence: 99%

A multi-target approach for discovery of antiviral compounds against dengue virus from green tea

Mahajan¹,

Tomar

Kumar³

et al. 2020

Netw Model Anal Health Inform Bioinforma

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Dengue virus (DENV) infection is one of the largest threats worldwide, and there is no any specific drug available in the market to combat its serious causes. In the present study, we attempted to screen the potential of green tea to inhibit DENV infection through known DENV multi-target, viz. nonstructural protein 1 (NS1), RNA dependent RNA polymerase domain (RDRP), and methyltransferase domain of non-structural protein 5 (MTD). A total of 25 bioactive compounds from the green tea were docked against the selected targets that result into only three compounds with substantial binding affinity above − 9 kcal/mol. Evaluation of these docked complexes through molecular dynamics simulations suggested the considerable stability of Compound-1 and Compound-2 with selected DENV targets whilst no significant stability was recorded for the Compound-3. Hence, Compound-1 and Compound-2 were concluded with potential inhibitory activity against DENV NS1, RDRP, and MTD; and suggested to validate their anti-dengue activity through in vitro and in vivo experiments.

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Section: Introductionmentioning

confidence: 99%

A multi-target approach for discovery of antiviral compounds against dengue virus from green tea

Mahajan¹,

Tomar

Kumar³

et al. 2020

Netw Model Anal Health Inform Bioinforma

Self Cite

View full text Add to dashboard Cite

show abstract

“…Dengue fever causes a high burden of disease and mortality across tropical and subtropical regions in Southeast Asia, Africa, the Western Pacific, and the Americas [ 1 ]. Dengue virus comprises five serotypes, DENV-1, DENV-2, DENV-3, DENV-4 and DENV-5, which are transmitted by Aedes aegypti mosquitoes [ 2 – 4 ]. An estimated 2.5 billion people worldwide are at risk of dengue.…”

Section: Introductionmentioning

confidence: 99%

Predicting the severity of dengue fever in children on admission based on clinical features and laboratory indicators: application of classification tree analysis

et al. 2018

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BackgroundDengue fever is a re-emerging viral disease commonly occurring in tropical and subtropical areas. The clinical features and abnormal laboratory test results of dengue infection are similar to those of other febrile illnesses; hence, its accurate and timely diagnosis for providing appropriate treatment is difficult. Delayed diagnosis may be associated with inappropriate treatment and higher risk of death. Early and correct diagnosis can help improve case management and optimise the use of resources such as hospital staff, beds, and intensive care equipment. The goal of this study was to develop a predictive model to characterise dengue severity based on early clinical and laboratory indicators using data mining and statistical tools.MethodsWe retrieved data from a study of febrile illness in children at Angkor Hospital for Children, Cambodia. Of 1225 febrile episodes recorded, 198 patients were confirmed to have dengue. A classification and regression tree (CART) was used to construct a predictive decision tree for severe dengue, while logistic regression analysis was used to independently quantify the significance of each parameter in the decision tree.ResultsA decision tree algorithm using haematocrit, Glasgow Coma Score, urine protein, creatinine, and platelet count predicted severe dengue with a sensitivity, specificity, and accuracy of 60.5%, 65% and 64.1%, respectively.ConclusionsThe decision tree we describe, using five simple clinical and laboratory indicators, can be used to predict severe cases of dengue among paediatric patients on admission. This algorithm is potentially useful for guiding a patient-monitoring plan and outpatient management of fever in resource-poor settings.

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“…DENV is a single-stranded, positive-sensed RNA virus of the Flaviviridae family. The viral genome is encapsidated by the capsid (C) proteins, and enveloped by a lipid bilayer within which the envelope (E) proteins and the mature membrane (M) proteins are embedded [ 3 ]. Among these three viral structural proteins, the E protein is responsible for binding to cell surface receptors, therefore triggering receptor-mediated endocytosis and subsequent internalization of the virion [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Aminopeptidase secreted by Chromobacterium sp. Panama inhibits dengue virus infection by degrading the E protein

et al. 2018

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Dengue virus (DENV) is the most prevalent and burdensome arbovirus transmitted by Aedes mosquitoes, against which there is only a limited licensed vaccine and no approved drug treatment. A Chromobacterium species, C. sp. Panama, isolated from the midgut of A. aegypti is able to inhibit DENV replication within the mosquito and in vitro. Here we show that C. sp. Panama mediates its anti-DENV activity through secreted factors that are proteinous in nature. The inhibitory effect occurs prior to virus attachment to cells, and is attributed to a factor that destabilizes the virion by promoting the degradation of the viral envelope protein. Bioassay-guided fractionation, coupled with mass spectrometry, allowed for the identification of a C. sp. Panama-secreted neutral protease and an aminopeptidase that are co-expressed and appear to act synergistically to degrade the viral envelope (E) protein and thus prevent viral attachment and subsequent infection of cells. This is the first study characterizing the anti-DENV activity of a common soil and mosquito-associated bacterium, thereby contributing towards understanding how such bacteria may limit disease transmission, and providing new tools for dengue prevention and therapeutics.

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Genomics, proteomics and evolution of dengue virus

Cited by 49 publications

References 132 publications

A multi-target approach for discovery of antiviral compounds against dengue virus from green tea

A multi-target approach for discovery of antiviral compounds against dengue virus from green tea

Predicting the severity of dengue fever in children on admission based on clinical features and laboratory indicators: application of classification tree analysis

Aminopeptidase secreted by Chromobacterium sp. Panama inhibits dengue virus infection by degrading the E protein

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