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Computational analysis of sequential and structural variations in stromelysins as an insight towards matrix metalloproteinase research

Authors :
Beutline Malgija
Host Antony David Rajendran
Uma Maheswari
Nivetha Sarah Ebenezer
Joyce Priyakumari
Shanmughavel Piramanayagam
Source :
Informatics in Medicine Unlocked, Vol 11, Iss , Pp 28-35 (2018)
Publication Year :
2018
Publisher :
Elsevier, 2018.

Abstract

Matrix metalloproteinases are zinc-dependent protein and peptide hydrolases. They are broadly involved in metabolic regulation through both extensive protein degradation and selective peptide-bond hydrolysis. Stromelysins belong to this group of proteinases and involved in various physiological and pathological functioning of the cell. This study aims at assessing the sequential and structural aspects of stromelysins based on in silico approaches. Deduced stromelysin sequences were predicted to possess regulatory domain, protease domain, and proline-rich hinge regions. Sequential analysis revealed MMP-3 and 10 are more similar than MMP-11 regarding stability and aminoacid distribution. Secondary structure prediction showed that beta-sheets dominated other secondary structural elements (alpha helices, coils, and turns) in stromelysins. Validation of predicted models with different approaches confirms the accuracy and best quality of models. The binding mode of zinc atom provides information regarding their interaction with stromelysins. The predicted models showed little variation in binding mode with their natural inhibitor, TIMP-1. The predicted models will be used in an extensive range of studies for functional analysis and improvement activity of stromelysins. Keywords: Matrix metalloproteinases, Zinc-binding motif, Structure prediction, Ramachandran plot, Stromelysin, Superfamily

Details

Language :
English
ISSN :
23529148
Volume :
11
Issue :
28-35
Database :
Directory of Open Access Journals
Journal :
Informatics in Medicine Unlocked
Publication Type :
Academic Journal
Accession number :
edsdoj.09ea769575484797b3619f3cf3fbc9e0
Document Type :
article
Full Text :
https://doi.org/10.1016/j.imu.2017.12.003