Structural Classification of Pax7 Using Homology Modeling: A Functional Approach

Rashmi; Sunil Kumar Rai; M. Shah; Dinesh Kumar Baitha; Royana Singh

Volume : IV, Issue : V, May - 2014

Structural Classification of Pax7 Using Homology Modeling: A Functional Approach

Rashmi, Sunil Kumar Rai, M. Shah, Dinesh Kumar Baitha, Royana Singh

Abstract :

PAX7 gene belongs to the class of transcription factor and has a significant role in neural crest development. 1PDN.pdb was used as a template for 3D structure prediction of PAX7 domain with identity 80% and 91% positivity using Discovery Studio version 3.1. The predicted model was then subjected to check internal consistency and reliability. Qualitative and quantitative analysis suggests that the predicted model was reliable and stable with best quality and resolution along with volume. Overall fractional accessible surface area, residues volume and packing quality index was found to be good using VADAR server. Resolution of the predicted model is 2.803Aº. Structural classification suggests that this super family represents winged helix DNA binding domains CATH ID: 1.10.10.10. Summary: PAX7 gene beongs to the class of transcription factor. In this proposed study homology modeling of PAX7 protein has been done. The predicted model was then subjected to check internal consistency and reliability. Structural classification suggests that this super family represents winged helix DNA binding domains CATH ID: 1.10.10.10