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Title

Insights from molecular network analysis to docking of sterubin with potential targets

 

Authors

Sittarthan Viswanathan1,*, Kavimani Subramanian1, Vimalavathini Ramesh1 & A. Hannah Rachel Vasanthi2

 

Affiliation

1Department of Pharmacology, Mother Theresa Post Graduate & Research Institute of Health Sciences (Government of Puducherry Institution), Puducherry - 605006, India; 2Department of Biotechnology, Pondicherry University - 605014;

 

Email

Sittarthan Viswanathan - E-mail: insiddhu@gmail.com

Kavimani Subramanian - E-mail: drskavimani@yahoo.co.in

Ramesh Vimalavathini - E-mail: vimalavathini@gmail.com

Hannah Rachel Vasanthi - E-mail: hrvasanthi@gmail.com

 

Article Type

Research Article

 

Date

Received December 1, 2023; Revised December 31, 2023; Accepted December 31, 2023, Published December 31, 2023

 

Abstract

The use of a flavonoid compound sterubin in drug discovery is gaining momentum. Hence, it is of interest to document the molecular network analysis to docking of sterubin with potential targets to glean insights. We identified 32 target genes and (or) gene products for sterubin using DAVID tools for GO, KEGG pathway enrichment analyses and the STRING database. Further, molecular docking analysis data of sterubin with these targets is documented for further consideration in broad-spectrum drug discovery.

 

Keywords

Sterubin, Eriodicyton californicum, network analysis, molecular docking, Alzheimer’s disease.

 

Citation

Vishwanathan et al. Bioinformation 19(12): 1184-1192 (2023)

 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.