Background:
New potential biological targets prediction through inverse molecular docking technique is an another smart strategy to forecast the possibility of compounds being biologically active against various target receptors.
Objectives:
In this case of designed study, we screened our recently obtained novel acetylinic steroidal biotransformed products [(1) 8-β-methyl-14-α-hydroxy∆4tibolone (2) 9-α-Hydroxy∆4 tibolone (3) 8-β-methyl-11-β-hydroxy∆4tibolone (4) 6-β-hydroxy∆4tibolone, (5) 6-β-9-α-dihydroxy∆4tibolone (6) 7-β-hydroxy∆4tibolone) ] from fungi Cunninghemella Blakesleana to predict their possible biological targets and profiling of ADME properties.
Method:
The prediction of pharmacokinetics properties membrane permeability as well as bioavailability radar properties were carried out by using Swiss target prediction, and Swiss ADME tools, respectively these metabolites were also subjected to predict the possible mechanism of action along with associated biological network pathways by using Reactome data-base.
Results:
All the six screened compounds possess excellent drug ability criteria, and exhibited exceptionally excellent non inhibitory potential against all five isozymes of CYP450 enzyme complex, including (CYP1A2, CYP2C19, CYP2C9, CYP2D6, and CYP3A4) respectively. All the screened compounds are lying within the acceptable pink zone of bioavailability radar and showing excellent descriptive properties. Compounds [1-4 & 6] are showing high BBB (Blood Brain Barrier) permeation, while compound 5 is exhibiting high HIA (Human Intestinal Absorption) property of (Egan Egg).
Conclusion:
In conclusion, the results of this study smartly reveals that in-silico based studies are considered to provide robustness towards a rational drug designing and development approach, therefore in this way it helps to avoid the possibility of failure of drug candidates in the later experimental stages of drug development phases.
There is a limited understanding of molecular and cellular events that derive disease progression in patients with COVID-19. Receptor for Advanced Glycation End Products (RAGE) is hyperactive in development and complications of several diseases by mediating oxidative stress and in ammation in the body. The present study aims to explore activation of RAGE signaling in patients infected with SARS-CoV-2 with preexisting comorbidities. Enhanced levels of ligands of RAGE including AGEs, S100, and HMGB-1 were observed in Covid 19 patients with severe diseases, however, their level was signi cantly higher in COVID-19 patients with comorbidties as compared to COVID-19 patients without comorbidties. The Expression of RAGE in parallel to ligands accumulation, was signi cantly increased in patients with severe disease and comorbidities as compared to COVID-19 patients with sever disease without comorbidities. The expression of downstream effectors of RAGE including STAT-3 and NF-kB were also enahnced and their activity was increaed in COVID-19 patients with comorbisdities. Levels of in ammatory and oxidative stress biomarkers were markeldy in COVID-19 patients with comorbidties as compared to COVID-19 patients without comorbidties. We conclude that upregulated RAGE axis is favorable to worsen the severity of the SARS-CoV-2 infection in patients with preexisting comorbidities and partly explain in ammatory and oxidative stress strom in severe COVID-19 patietnts.
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