MAIN


1996-2019. All Rights Reserved. Online Journal of Bioinformatics . You may not store these pages in any form except for your own personal use. All other usage or distribution is illegal under international copyright treaties. Permission to use any of these pages in any other way besides the  before mentioned must be gained in writing from the publisher. This article is exclusively copyrighted in its entirety to OJB publications. This article may be copied once but may not be, reproduced or  re-transmitted without the express permission of the editors. This journal satisfies the refereeing requirements (DEST) for the Higher Education Research Data Collection (Australia). Linking: To link to this page or any pages linking to this page you must link directly to this page only here rather than put up your own page.


OJBTM

 Online Journal of Bioinformatics  

  Volume 15 (2): 191-197, 2014.  


Structure of tumor suppressor gene protein (PTEN) by homology modelling.

Babita Rathore1, Madhvi Shakya2

1Department(s) of Bioinformatics and 2Mathematics, MANIT, Bhopal- 462051, India

 

ABSTRACT

 

Rathore B, Shakya M., Structure of tumor suppressor gene protein (PTEN) by homology modelling, Onl J Bioinform., 15 (2): 191-197, 2014. PTEN (Phosphatase and Tensin homolog deleted on chromosome 10), a tumor suppressor gene mutates in human tumors including melanoma. PTEN regulates cell growth, apoptosis and proliferation. De-regulation of this protein is also involved in several other diseases. Homology modeling was done with Protein Structure Prediction Server (PS2), energy minimized with GROMACS, and assessed by PROCHECK and WHATCHECK. A 3D structure of PTEN constructed through homology modelling is shown.

 

Keywords: Melanoma, PTEN, Homology Modelling.


MAIN

 

FULL-TEXT (SUBSCRIBE OR PURCHASE TITLE $25USD)