ABSTRACT
Machine Learning for ligand based virtual screening (LB-VS) is an important in-silico tool for discovering new drugs in a faster and cost-effective manner, especially for emerging diseases such as COVID-19. In this paper, we propose a general-purpose framework combining a classical Support Vector Classifier algorithm with quantum kernel estimation for LB-VS on real-world databases, and we argue in favor of its prospective quantum advantage. Indeed, we heuristically prove that our quantum integrated workflow can, at least in some relevant instances, provide a tangible advantage compared to state-of-art classical algorithms operating on the same datasets, showing strong dependence on target and features selection method. Finally, we test our algorithm on IBM Quantum processors using ADRB2 and COVID-19 datasets, showing that hardware simulations provide results in line with the predicted performances and can surpass classical equivalents.
ABSTRACT
BACKGROUND: The continual course of the pandemic points to the importance of studies on the rate and durability of protective immunity after infection or vaccination. AIMS: In this study, we aimed to monitor anti-nucleocapsid (N) and anti-spike (S) antibodies against SARS-CoV-2 nearly 9 months duration after infection. METHODS: Anti-nucleocapsid (N) (at 11-15-20-29-38 weeks) and anti-spike antibodies (at 11 and 38 weeks) against SARS-CoV-2 were monitored during 38 weeks after the initial symptoms of COVID-19. RESULTS: Of 37 cases between 18 and 57 years old, 54% were women. The findings showed that anti-N antibodies decreased significantly after the 15th week (between 15 and 20 weeks, p = 0.016; 20-29 weeks, p = 0.0009; and 29-38 weeks, p = 0.049). At the 38th week, mean antibody levels decreased 35% compared to the 11th week, and 8% of the cases turned negative results. Anti-N antibody average level was 56.48 on the 11th week (the cut-off index threshold ≥ 1). It was estimated statistically that it would decrease to an average of 20.48 in weeks 53-62. In females, average antibody levels of all measurements were lower than males (p > 0.05). Anti-S antibody levels 14% increased at 38th week compared to 11th week (quantitative positivity threshold ≥ 0.8 U/ml), and no cases were negative at 38th week. CONCLUSIONS: Patients had ≥ 90% positivity after at least 9 months of symptoms, both anti-N and anti-S antibodies. In all samples, both anti-N and anti-S antibody levels were lower in females. The findings suggest that the quantitative values of anti-S antibodies remained high for at least 9 months and could provide protection.
Subject(s)
COVID-19 , Male , Humans , Female , Adolescent , Young Adult , Adult , Middle Aged , SARS-CoV-2 , Spike Glycoprotein, Coronavirus , Nucleocapsid Proteins , Antibodies, ViralABSTRACT
Here, we demonstrate that the two distinct formulations of our anti-sepsis drug candidate Rejuveinix (RJX), have a very favorable safety profile in Wistar Albino rats at dose levels comparable to the projected clinical dose levels. 14-day treatment with RJX-P (RJX PPP.18.1051) or RJX-B (RJX-B200702-CLN) similarly elevated the day 15 tissue levels of the antioxidant enzyme superoxide dismutase (SOD) as well as ascorbic acid in both the lungs and liver in a dose-dependent fashion. The activity of SOD and ascorbic acid levels were significantly higher in tissues of RJX-P or RJX-B treated rats than vehicle-treated control rats (p < 0.0001). There was no statistically significant difference between tissue SOD activity or ascorbic acid levels of rats treated with RJX-P vs. rats treated with RJX-B (p > 0.05). The observed elevations of the SOD and ascorbic acid levels were transient and were no longer detectable on day 28 following a 14-day recovery period. These results demonstrate that RJX-P and RJX-B are bioequivalent relative to their pharmacodynamic effects on tissue SOD and ascorbic acid levels. Furthermore, both formulations showed profound protective activity in a mouse model of sepsis. In agreement with the PD evaluations in rats and their proposed mechanism of action, both RJX-P and RJX-B exhibited near-identical potent and dose-dependent anti-oxidant and anti-inflammatory activity in the LPS-GalN model of ARDS and multi-organ failure in mice.