EventsMOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed.
Published
This submission belongs to the session 06. BIOMODE.ECO-07: Biotech., Mol. Eng., Nat. Products Develop. and Ecology Congress, Paris, France-Ohio, USA, 2022. of the event MOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed.
Published date
02 Jan, 2023
Academic Editor
author-avatarHumbert G. Díaz
Citation
Dhivya Shanmugarajan, Charles David, A network pharmacology-based analysis of the main pharmacological pathways of Cardiospermum Halicacabum acting on Human Breast Cancer with computational and experimental validation, in Proceedings of MOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed., 1 January–15 January 2023, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-08-13949
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A network pharmacology-based analysis of the main pharmacological pathways of Cardiospermum Halicacabum acting on Human Breast Cancer with computational and experimental validation

1. Department of Biotechnology, Vignan's Foundation for Science, Technology & Research (Deemed to be University), Vadlamudi, Andhra Pradesh, India- 522 213.
Abstract

The discovery of medicines based on natural products is thriving in the world. India is rich in medicinal plants, which are known to treat various diseases. One among Cardiospermum halicacabum or balloon wine is a climbing plant. It belongs to the family Sapindaceae and it’s known for various pharmacological activities. In total 170 active ingredients were curated from the Collective Molecular Activities of Useful Plants(CMAUP) platform and literature research is funneled for >50% drug-likeness via BIOVIA Discovery studio small molecule tool. The OMIM, Therapeutic Targets database, DrugBank and GeneCard were used to establish a database of breast cancer targets. The interactive compound-gene target was created with Cytoscape software (Version 3.6.1). Further, the protein-protein interaction network was mapped with the STRING database, and the related protein interaction relationship was analyzed. KEGG enrichment and Gene Ontology functional analysis for main drug targets pathways are involved Estrogen signaling pathway, Ras signaling pathway, and Proteoglycans in cancer. Finally, molecular docking of the active ingredients with the primary drug target was carried out. Also, the cell line study was carried out in human breast cancer cell lines MCF7 to investigate the level of cytotoxicity.

Keywords
medicinal plants
compound-gene
protein-protein
active ingredients
cytotoxicity
Manuscript
Analysis and Identification of Nephrolithiasis from Ultrasound Images using Machine Learning Approach