Potential Biological Targets Prediction, Profiling, and Molecular Docking Studies of Novel Steroidal Products from .

BACKGROUND

New potential biological targets prediction through inverse molecular docking technique is another smart strategy to forecast the possibility of compounds being biologically active against various target receptors.

OBJECTIVE

In this case of designed study, we screened our recently obtained novel acetylenic steroidal biotransformed products [(1) 8-β-methyl-14-α-hydroxyΔ4tibolone (2) 9-α-HydroxyΔ4 tibolone (3) 8-β-methyl-11-β-hydroxyΔ4tibolone (4) 6-β-hydroxyΔ4tibolone, (5) 6-β-9-α-dihydroxyΔ4tibolone (6) 7-β-hydroxyΔ4tibolone)] from fungi Cunninghemella Blakesleana to predict their possible biological targets and profiling of ADME properties.

METHODS

The prediction of pharmacokinetic properties, membrane permeability, and bioavailability radar properties was 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 database.

RESULTS

All the six screened compounds possessed excellent drug ability criteria and exhibited exceptionally excellent non-inhibitory potential against all five isozymes of the CYP450 enzyme complex, including CYP1A2, CYP2C19, CYP2C9, CYP2D6, and CYP3A4. 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 reveal that in-silico based studies are considered to provide robustness towards a rational drug design 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.