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http://dx.doi.org/10.13160/ricns.2016.9.1.35

Protein Phosphatase 1D (PPM1D) Structure Prediction Using Homology Modeling  

Nagarajan, Santhosh Kumar (Department of Bioinformatics, School of Bioengineering, SRM University)
Madhavan, Thirumurthy (Department of Bioinformatics, School of Bioengineering, SRM University)
Publication Information
Journal of Integrative Natural Science / v.9, no.1, 2016 , pp. 35-40 More about this Journal
Abstract
Protein phosphatase manganese dependent 1D (PPM1D) is one of the Ser/Thr protein phosphatases belongs to the PP2C family. They play an important role in cancer tumorigenesis of various tumors including neuroblastoma, pancreatic adenocarcinoma, medulloblastoma, breast cancer, prostate cancer and ovarian cancer. Even though PPM1D is involved in the pathophysiology of various tumors, the three dimensional protein structure is still unknown. Hence in the present study, homology modelling of PPM1D was performed. 20 different models were modelled using single- and multiple-template based homology modelling and validated using different techniques. Best models were selected based on the validation. Three models were selected and found to have similar structures. The predicted models may be useful as a tool in studying the pathophysiological role of PPM1D.
Keywords
PPM1D; WIP1; PP2C; Homology Modelling;
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