Structure Prediction of Membrane Associated and Secreted MMPs through Sequence Based Studies: An In silico Approach

Abstract

Matrix Metalloproteinases are endopeptidases potentially involved proteins, which are associated with several pathological and favorable targets for any diseased condition; may implicate certain infrequent features in diseased conditions. Matrix Metalloproteinases (MMPs) play a vital role in metastasis and tissue remodeling in both the cases. The dual nature of MMPs in both favorable and pathological conditions might have an impact in many cellular processes that led researchers to investigate the conditions prevailed due to modifications and signaling mechanisms. The experimental evidences support the computational biologists to characterize and do further structural analysis with existing experimental research. The research has been focused on specific MMPs in which the further study was based on structure prediction of MMPs to understand the structural aspects. The basic approach was to screen large protein families, which play dual role during normal and diseased conditions. From a sequential perspective, bioinformatics analysis was done for membrane and secreted MMPs.

Keywords: MMP, Phyre2, ProtParam, SOPMA, Clustal Omega, Chimera

Cite this Article

Naman Ashar, Aditya Singh, Aayush Kar, et al. Structure prediction of membrane associated and secreted mmps through sequence based studies: an in silico approach. Research and Reviews: Journal of Computational Biology. 2015; 5(3): 28–34p.