Integrated hepatitis e virus monitoring in central Argentina: a six-year analysis of clinical surveillance and wastewater-based epidemiology

Water Research, Год журнала: 2024, Номер 261, С. 122004 - 122004

Опубликована: Июнь 27, 2024

Язык: Английский

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In Silico Protein Structure Analysis for SARS-CoV-2 Vaccines Using Deep Learning

BioMedInformatics, Год журнала: 2023, Номер 3(1), С. 54 - 72

Опубликована: Янв. 11, 2023

Protein three-dimensional structural analysis using artificial intelligence is attracting attention in various fields, such as the estimation of vaccine structure and stability. In particular, when spike protein vaccines, major issues construction SARS-CoV-2 vaccines are their weak abilities to attack virus elicit immunity for a short period. Structural information about new viruses essential understanding properties creating effective vaccines. However, determining through experiments lengthy laborious process. Therefore, computational approach accelerated elucidation process made predictions more accurate. Using advanced machine learning technology called deep neural networks, it has become possible predict structures directly from gene sequences. We summarize advances antiviral therapy with extracellular vesicles via analysis.

Язык: Английский

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Wastewater monitoring of SARS‐CoV‐2 gene for COVID‐19 epidemiological surveillance in Tucumán, Argentina

Journal of Basic Microbiology, Год журнала: 2024, Номер 64(8)

Опубликована: Май 7, 2024

Abstract Wastewater‐based epidemiology provides temporal and spatial information about the health status of a population. The objective this study was to analyze report epidemiological dynamics severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) in province Tucumán, Argentina during second third waves disease 2019 (COVID‐19) between April 2021 March 2022. aimed quantify SARS‐CoV‐2 RNA wastewater, correlating it with clinically reported COVID‐19 cases. Wastewater samples ( n = 72) were collected from 16 sampling points located three cities Tucumán (San Miguel de Yerba Buena y Banda del Río Salí). Detection viral nucleocapsid markers (N1 gene) carried out using one‐step reverse transcription‐quantitative polymerase chain reaction (RT‐qPCR). Viral loads determined for each positive sample standard curve. A correlation p < 0.05) observed load (copies/mL) confirmed cases at specific San (SP4, SP7, SP8) both months, May June. Indeed, high concurred peaks This method allowed us follow behavior infection epidemic outbreaks. Thus, wastewater monitoring is valuable indicator that enables anticipation increases tracking progress pandemic. genome‐based surveillance should be implemented as routine practice prepare any future surge infections.

Язык: Английский

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Meta-analysis of the SARS-CoV-2 positivity rate in municipal wastewater

Environmental Geochemistry and Health, Год журнала: 2024, Номер 46(4)

Опубликована: Март 14, 2024

Язык: Английский

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Current progress and challenges of municipal wastewater phycoremediation and microalgae-based biorefinery

Elsevier eBooks, Год журнала: 2024, Номер unknown, С. 19 - 42

Опубликована: Окт. 4, 2024

Язык: Английский

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