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ISSN 2410-955X - An International Biannual Journal
BIOMEDICAL LETTERS
Homology modeling, molecular docking and elucidating of potent binding domain of Synapsin 1: A schizophrenia gene
Zunaira Iqbal, Komal Naz*, Arifa Maratib

Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, Pakistan

Abstract
Synapsin 1 is phosphoprotein consist onto the surface of synaptic vesicles. It is involved in development of neurons. SYN1 play an important role in axonogenesis and synaptogenesis neurotransmitter release and connection of vesicles to the cytoskeleton. Mutations in SYN1 can cause schizophrenia. The alterations in SYN1 lead to a neurodegenerative disorder known schizophrenia affects 1% of the population and is classified by lack of social behavior and various behavioral abnormalities. In silico approaches were employed to predict 3D structures and protein-protein docking of SYN1. Comparative modeling and threading computational approaches were applied to predict 3D structure of SYN1. STRING database calculated 1AUV as the interacting partner of SYN1. SYN1 protein-protein molecular docking study was done against 1AUV to identify the interacting residues. The observed interacting residues may have effective response against schizophrenia. The generated findings of this effort help to design the effective therapeutic targets against SYN1 by targeting schizophrenia.

A R T I C L E  I N F O

Received
April 21, 2020
Revised
May 27, 2020
Accepted
July 05, 2020

*Corresponding Author
Komal Naz
E-mail
komalnaz330331@gmail.com

Keywords
Homology modeling
SYN1
Bioinformatics
Protein-protein docking
Molecular docking





Research article


2020 | Volume 6 | Issue 2: Special issue articles: Computational drug designing and molecular docking analyses