![]() ![]() With the aid of the MD simulation methods, the final refined model is obtained and is further assessed by SAVES server, which shows that the refined model is reliable. A three-dimensional (3D) model of the VEGFR-2 is generated based on the crystal structure of the complex containing KIT and sunitinib (PDB code 3G0E) by using the Moduller9v11 software. In order to understand of the mechanisms of ligand binding and the interaction between the ligand and the VEGFR-2. VEGFR-2 is a known protein target for antiangiogenic agents, was used in this study. Using structure based virtual screening approach two promising leads were identified for Survivin with appreciable docking scores favorable energies. On analysis of nodes predominantly associated with colon cancer pathways, NCI cancer gene index annotation, Survivin was identified as a potential target. Using computational network biology approach, a network of all significant genes was built and analyzed on the basis of association of the nodes with cancer pathways. To obtain a significant target, a complete list of differentially expressed genes was derived by statistical analysis of colon cancer against normal gene expression data. The present study aims at identifying a potential therapeutic target for colon cancer through microarray data analysis and suggests promising leads which could be developed as drugs. Recent microarray data in the public database demonstrate significant gene expression and epigenetic alterations in tumor conditions. ![]() ![]() Colon cancer is the most common malignancy and the leading cause of cancer related death worldwide. ![]()
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