Implication of COVID-19 on erythrocytes functionality: red blood cell biochemical implications and morpho-functional aspects
Several diseases (such as diabetes, cancer, and neurodegenerative disorders) affect the
morpho-functional aspects of red blood cells, sometimes altering their normal metabolism. In …
morpho-functional aspects of red blood cells, sometimes altering their normal metabolism. In …
Metabolic alterations upon SARS-CoV-2 infection and potential therapeutic targets against coronavirus infection
Abstract The coronavirus disease 2019 (COVID-19) caused by coronavirus SARS-CoV-2
infection has become a global pandemic due to the high viral transmissibility and …
infection has become a global pandemic due to the high viral transmissibility and …
Glucose metabolism disorder: a potential accomplice of SARS-CoV-2
Y Luan, Y Luan, H He, B Jue, Y Yang, B Qin… - International Journal of …, 2023 - nature.com
Abstract Globally, 265,713,467 confirmed cases of SARS-CoV-2 (CoV-2), including
5,260,888 deaths, have been reported by the WHO. It is important to study the mechanism of …
5,260,888 deaths, have been reported by the WHO. It is important to study the mechanism of …
Hunting the main protease of SARS-CoV-2 by plitidepsin: Molecular docking and temperature-dependent molecular dynamics simulations
VK Vishvakarma, MB Singh, P Jain, K Kumari, P Singh - Amino acids, 2022 - Springer
COVID-19 has shaken all the countries across the globe and researchers are trying to find
promising antiviral to cure the patients suffering from infection and can decrease the death …
promising antiviral to cure the patients suffering from infection and can decrease the death …
2-Deoxy-D-Glucose and its derivatives for the COVID-19 treatment: an update
Treatment choices for the “severe acute respiratory syndrome‐related coronavirus‐2 (SARS‐
CoV‐2)” are inadequate, having no clarity on efficacy and safety profiles. Currently, no …
CoV‐2)” are inadequate, having no clarity on efficacy and safety profiles. Currently, no …
Gramicidin S and melittin: Potential anti-viral therapeutic peptides to treat SARS-CoV-2 infection
The COVID19 pandemic has led to multipronged approaches for treatment of the disease.
Since de novo discovery of drugs is time consuming, repurposing of molecules is now …
Since de novo discovery of drugs is time consuming, repurposing of molecules is now …
Platelet phenotype analysis of COVID-19 patients reveals progressive changes in the activation of integrin αIIbβ3, F13A1, the SARS-CoV-2 Target EIF4A1 and …
H Ercan, WC Schrottmaier, A Pirabe… - Frontiers in …, 2021 - frontiersin.org
Background: The fatal consequences of an infection with severe acute respiratory syndrome
coronavirus 2 are not only caused by severe pneumonia, but also by thrombosis. Platelets …
coronavirus 2 are not only caused by severe pneumonia, but also by thrombosis. Platelets …
[HTML][HTML] The role of transketolase in human cancer progression and therapy
S Hao, Q Meng, H Sun, Y Li, Y Li, L Gu, B Liu… - Biomedicine & …, 2022 - Elsevier
Transketolase (TKT) is an enzyme that is ubiquitously expressed in all living organisms and
has been identified as an important regulator of cancer. Recent studies have shown that the …
has been identified as an important regulator of cancer. Recent studies have shown that the …
Genome-scale metabolic model of infection with SARS-CoV-2 mutants confirms guanylate kinase as robust potential antiviral target
The current SARS-CoV-2 pandemic is still threatening humankind. Despite first successes in
vaccine development and approval, no antiviral treatment is available for COVID-19 …
vaccine development and approval, no antiviral treatment is available for COVID-19 …
Combining semi-targeted metabolomics and machine learning to identify metabolic alterations in the serum and urine of hospitalized patients with COVID-19
G Baiges-Gaya, S Iftimie, H Castañé… - Biomolecules, 2023 - mdpi.com
Viral infections cause metabolic dysregulation in the infected organism. The present study
used metabolomics techniques and machine learning algorithms to retrospectively analyze …
used metabolomics techniques and machine learning algorithms to retrospectively analyze …