detecting-sars-cov-2-virus-reverse-transcription-loop-mediated

Detecting SARS-CoV-2 Virus by Reverse Transcription-Loop-Mediated Isothermal Amplification

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus has dramatically impacted human health. It continues to be a threat to modern ...

Universidad Icesi

UNIVERSIDAD DE LOS ANDES

Chiral amino alcohols are compounds of pharmaceutical interest as they are building blocks of sphingolipids, antibiotics, and antiviral glycosidase inhibitors. Due to the challenges of chemical synthesis we recently developed two TK-TAm reaction cascades using natural and low cost feedstocks as substrates: a recycling cascade comprising of 2 enzymes and a sequential 3-step enzyme cascade yielding 30% and 1% conversion, respectively. In order to improve the conversion yield and aid the future host strain engineering for whole cell biocatalysis, we used a combination of microscale experiments and statistical experimental design. For this we implemented a full factorial design to optimise pH, temperature and buffer type, followed by the application of Response Surface Methodology for the optimisation of substrates and enzymes concentrations. Using purified enzymes we achieved 60% conversion for the recycling cascade and 3-fold improvement using the sequential pathway. Based on the results, limiting steps and individual requirements for host cell metabolic integration were identified expanding the understanding of the cascades without implementing extensive optimisation modelling. Therefore, the approach described here is well suited for optimising reaction conditions as well as defining the relative enzyme expression levels required for construction of microbial cell factories.

Optimisation of enzyme cascades for chiral amino alcohol synthesis in aid of host cell integration using a statistical experimental design approach.

Microalgae provides an alternative for the valorization of industrial by-products, in which the nutritional content varies substantially and directly affects microalgae system performance. Herein, the heterotrophic cultivation of  was systematically studied, allowing us to detect a nutritional deficiency other than the carbon source through assessing the oxygen transfer rate for glucose or acetate fermentation. Consequently, a mathematical model of the iron co-limiting effect on heterotrophic microalgae was developed by exploring its ability to regulate the specific growth rate and yield. For instance, higher values of the specific growth rate (0.17 h) compared with those reported for the heterotrophic culture of  were obtained due to iron supplementation. Therefore, anaerobic sludge from an industrial wastewater treatment plant (a baker's yeast company) was pretreated to obtain an extract as a media supplement for . According to the proposed model, the sludge extract allowed us to supplement iron values close to the growth activation concentration (K ~12 mg L). Therefore, a fed-batch strategy was evaluated on nitrogen-deprived cultures supplemented with the sludge extract to promote biomass formation and fatty acid synthesis. Our findings reveal that nitrogen and iron in sludge extract can supplement heterotrophic cultures of  and provide an alternative for the valorization of industrial anaerobic sludge.

Strategy for Managing Industrial Anaerobic Sludge through the Heterotrophic Cultivation of : Effect of Iron Addition on Biomass and Lipid Production.

As the world enters its second year of the pandemic caused by SARS-CoV-2, intense efforts have been directed to develop an effective diagnosis, prevention, and treatment strategies. One promising drug target to design COVID-19 treatments is the SARS-CoV-2 M. To date, a comparative understanding of M dynamic stereoelectronic interactions with either covalent or non-covalent inhibitors (depending on their interaction with a pocket called S1' or oxyanion hole) has not been still achieved. In this study, we seek to fill this knowledge gap using a cascade in silico protocol of docking, molecular dynamics simulations, and MM/PBSA in order to elucidate pharmacophore models for both types of inhibitors. After docking and MD analysis, a set of complex-based pharmacophore models was elucidated for covalent and non-covalent categories making use of the residue bonding point feature. The highest ranked models exhibited ROC-AUC values of 0.93 and 0.73, respectively for each category. Interestingly, we observed that the active site region of M protein-ligand complex undergoes large conformational changes, especially within the S2 and S4 subsites. The results reported in this article may be helpful in virtual screening (VS) campaigns to guide the design and discovery of novel small-molecule therapeutic agents against SARS-CoV-2 M protein.

Novel covalent and non-covalent complex-based pharmacophore models of SARS-CoV-2 main protease (M) elucidated by microsecond MD simulations.

Viruses are constantly changing as a result of mutations, and new viral variants are expected to appear over time. The virus that causes coronavirus disease 2019, severe acute respiratory syndrome coronavirus 2, is not excluded from this condition. Patients with some types of immunodeficiency have been reported to experience symptoms that vary from mild to severe, or even death, after being infected with severe acute respiratory syndrome coronavirus 2. We report a case of a woman with severe hypogammaglobulinemia who developed a prolonged and fatal severe acute respiratory syndrome coronavirus 2 infection.

Maria F. Villegas-Torres

Facultad de Ingeniería,
Diseño y Ciencias Aplicadas,
Facultad de Ingeniería, Diseño y Ciencias Aplicadas

Universidad Icesi

Detecting SARS-CoV-2 Virus by Reverse Transcription-Loop-Mediated Isothermal Amplification

Maria F. Villegas-Torres

.css-o250i3{font-size:18px;font-family:Open Sans,sans-serif;line-height:21.6px;}Facultad de Ingeniería,Diseño y Ciencias Aplicadas,Facultad de Ingeniería, Diseño y Ciencias Aplicadas

Universidad Icesi

Detecting SARS-CoV-2 Virus by Reverse Transcription-Loop-Mediated Isothermal Amplification

Facultad de Ingeniería,
Diseño y Ciencias Aplicadas,
Facultad de Ingeniería, Diseño y Ciencias Aplicadas