Potential Biological Targets Prediction, ADME Profiling, and Molecular Docking Studies of Novel Steroidal Products from Cunninghamella blakesleana

Author:

Yousuf Maria1,Rafi Sidra2,Ishrat Urooj3,Shafiga Alekberzadeh4,Dashdamirova Gulnara4,Leyla Vazirova4,Iqbal Heydarov5

Affiliation:

1. Dow College of Biotechnology, Department of Bioinformatics, Dow University of Health Sciences, Karachi, Pakistan

2. International Centre for Chemical and Biological Sciences, University of Karachi, Karachi, Pakistan

3. Dow Research Institute of Biotechnology and Biomedical Sciences, Dow University of Health Sciences, Karachi, Pakistan

4. Department of Pharmacy, Azerbaijan Medical University, Baku, Azerbaijan

5. Botany Institute of, Azerbaijan, National Academy of Sciences, Baku, Azerbaijan

Abstract

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.

Publisher

Bentham Science Publishers Ltd.

Subject

Drug Discovery

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