Insilico gene expression and drug docking studies on human Ovarian Cancer Disease Proteins (GPR68, DIRAS3 AND DPH1) using bioinformatics software and tools

Abstract

Ovarian cancer usually has a relatively poor prognosis. It is disproportionately deadly because it lacks any clear early detection or screening test, meaning most cases are not diagnosed until they have reached advanced stages. However, in some cases, ovarian cancer recurrences are chronically treatable. Ovarian cancer metastasizes early in its development, often before it has been diagnosed. High-grade tumors metastasize more readily than low-grade tumors. Typically, tumor cells begin to metastasize by growing in the peritoneal cavity. More than 60% of women presenting with ovarian cancer have stage-III or stage-IV cancer, when it has already spread beyond the ovaries. Ovarian cancers shed cells into the naturally occurring fluid within the abdominal cavity. These cells can then implant on other abdominal (peritoneal) structures, included the uterus, urinary bladder, bowel, lining of the bowel wall, andomentum, forming new tumor growths before cancer is even suspected. Since a large number of people are affected by this type of cancer, we have chosen to investigate on the insilico studies of this cancer. From the results obtained from this present research project we predict the Highly Expressed genes of Ovarian cancer induction using Codon usage. We found out the various genes involved in Ovarian cancer and predicted the Insilico Gene expression levels and found out the Highly Expressed genes. We also modeled the structural attributes employing Comparative Modeling and Docking.

Authors and Affiliations

Shakila. L , Shalini. H

Keywords

Related Articles

Genomic/ Personalized Medicine: A Strategy To Revolutionize HealthCare System

Medicine is now undergoing a major revolution that will transform the nature of healthcare from reactive to preventive. The changes will be catalyzed by a new systems approach to disease that will trigger the emergence o...

Identification of antigenic sites presents in the TSHR protein (Hyperthyroidism -TSHR) using Insilico techniques

Hyperthyroidism affects about 1.2% of the US population. About half of these cases have obvious symptoms while the other half do not. It occurs between two and ten times more often in women. The disease is more common in...

RP-HPLC method development and validation of valizodone in pure and tablet dosage form

A simple, precise, rapid, accurate and economic reverse phase high performance liquid chromatographic method has been developed for the estimation ofValizodone in tablet dosage form. The separation was achieved by using...

Three - Dimensional Structure and Motif prediction Studies on collagenase protein in fiddler crab

Enzymes are used in a variety of industrial processes to create an array of foods, cosmetics and pharmaceuticals. They offer advantages over chemical techniques including substrate specificity and elevated activity that...

Formulation and evaluation of mucoadhesive bilayer buccal tablets of amphotericin B hydrocarbon

In the present study, an attempt was made to formulate and evaluate mucoadhesive bilayer buccal tablets of amphotericin B (antifungal agent), in order to overcome bioavailability problems, to reduce dose dependent side e...

Download PDF file
  • EP ID EP107293
  • DOI -
  • Views 76
  • Downloads 0

How To Cite

Shakila. L, Shalini. H (2015). Insilico gene expression and drug docking studies on human Ovarian Cancer Disease Proteins (GPR68, DIRAS3 AND DPH1) using bioinformatics software and tools. International Journal of Novel Trends in Pharmaceutical Sciences, 5(1), 7-16. https://europub.co.uk./articles/-A-107293