Version 1
: Received: 28 May 2024 / Approved: 29 May 2024 / Online: 29 May 2024 (08:33:40 CEST)
How to cite:
Patil, P.; Badhe, D.; Mali, P. Network Pharmacology-Based Identification of Breast Cancer Targets and Their Interaction with Ocimum Sanctum (Tulsi)Chemical Compounds. Preprints2024, 2024051908. https://doi.org/10.20944/preprints202405.1908.v1
Patil, P.; Badhe, D.; Mali, P. Network Pharmacology-Based Identification of Breast Cancer Targets and Their Interaction with Ocimum Sanctum (Tulsi)Chemical Compounds. Preprints 2024, 2024051908. https://doi.org/10.20944/preprints202405.1908.v1
Patil, P.; Badhe, D.; Mali, P. Network Pharmacology-Based Identification of Breast Cancer Targets and Their Interaction with Ocimum Sanctum (Tulsi)Chemical Compounds. Preprints2024, 2024051908. https://doi.org/10.20944/preprints202405.1908.v1
APA Style
Patil, P., Badhe, D., & Mali, P. (2024). Network Pharmacology-Based Identification of Breast Cancer Targets and Their Interaction with Ocimum Sanctum (Tulsi)Chemical Compounds. Preprints. https://doi.org/10.20944/preprints202405.1908.v1
Chicago/Turabian Style
Patil, P., Dr.Pravin Badhe and Prashant Mali. 2024 "Network Pharmacology-Based Identification of Breast Cancer Targets and Their Interaction with Ocimum Sanctum (Tulsi)Chemical Compounds" Preprints. https://doi.org/10.20944/preprints202405.1908.v1
Abstract
Cancer is one of the most dreaded illnesses of the 20th century, cancer is continuing to spread and is becoming more common in the 21 st century.As of right now, breast cancer seems to be the most common cancer worldwide and the leading cause of cancer-related fatalities.In present study we used different network pharmacology tools for identification of target that involved in breast cancer that network pharmacology tool used target identification and validation process in drug discovery.In present study we used UniprotKB as text mining tool for identification of breast cancer gene in that we got the 2,658 gene in that we take the 165 in study the we done the GO and KEGG enrichment analysis in that we take pathways related to the breast cancer further we used STRING for determination protein-protein interaction in that we got the interaction between NDUFA1 with NDUFA3 and EREG,MYO1B with ACTN4 and XRCC3 with XRCC2.The interaction network was drawn and the network was analyzed by Cytoscape.
Keywords
Breast cancer; Target Identification; Protein-Protein Interaction; Network Pharmacology; Drug Discovery; KEEG; Enrichment analysis; Text Mining; Cytoscape
Subject
Biology and Life Sciences, Life Sciences
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
