3D And 2D RNA Structure Prediction Of The BRCA2 Gene And Its Silencing RNA In The Breast Cancer

Abstract

<p><em>Breast cancer is one of the most threatening diseases for women. It is found that BRCA2 gene plays a significant role in breast cancer, provided that mutations occurred. The objective of this </em><em>study</em><em> is to determine whether the bioinformatics approach could provide</em><em> the</em><em> gene networking, molecular simulation, and computational metabolomics information to </em><em>shed</em><em> the relation between BRCA2 gene mutation with </em><em>b</em><em>reast cancer progression. The methods are utilizing molecular simulation tools to comprehend the biochemical interaction of BRCA2 gene with other </em><em>oncogenic </em><em>genes. Lastly, the molecular docking tool is devised to provide </em><em>the </em><em>molecular interactions information. </em><em>I</em><em>t could be implied that the Computer-Aided Drug Design (CADD)-based in silico transcriptomics tools could provide </em><em>the </em><em>fine-grained information on the exact role of BRCA2 gene in the progression of breast cancer. The clinical impact of this </em><em>study</em><em> could only be measured after the wet laboratory experiment is conducted to validate the computational approach</em><em> results</em></p>