In Silico Study to Predict the Structural and Functional Consequences of SNPs on Biomarkers of Ovarian Cancer (OC) and BPA Exposure-Associated OC

In Silico Study to Predict the Structural and Functional Consequences of SNPs on Biomarkers of Ovarian Cancer (OC) and BPA Exposure-Associated OC

Background: Recently, we have shown that seven genes, namely <i>GBP5</i>, <i>IRS2</i>, <i>KRT4</i>, <i>LINCOO707</i>, <i>MRPL55</i>, <i>RRS1</i> and <i>SLC4A11,</i> have prognostic power for the overall survival in o...

Full description

Bibliographic Details
Main Authors: Aeman Zahra, Marcia Hall, Jayanta Chatterjee, Cristina Sisu, Emmanouil Karteris
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:International Journal of Molecular Sciences
Subjects:
missense mutations
protein modelling
<i>SLC4A11</i>
uterine corpus endometrial carcinoma
Online Access:https://www.mdpi.com/1422-0067/23/3/1725

Internet

https://www.mdpi.com/1422-0067/23/3/1725

Similar Items