PPI network analysis of diabetic retinopathy genes Online publication date: Tue, 30-Jun-2020
by Vidhya Gopalakrishnan; Arvind Nambiar; Sukanya Basu; G. Madhuvanthi
International Journal of Computational Biology and Drug Design (IJCBDD), Vol. 13, No. 3, 2020
Abstract: Diabetic retinopathy (DR) is the leading causes of blindness in many countries. Proteomic studies of DR have discovered a set of genes involved in the disease. In this study, protein protein interaction network (PPIN) of DR proteins were analysed to identify the hub nodes and a PPI network related to retinopathy genes was generated using Cytoscape software. The constructed protein network was analysed using ClusterONE, ClueGO and cytohubba. Among 497 identified candidate proteins, 482 were seen in the main connected component. The topology and functionality of the associated proteins were studied based on centrality parameters such as degree, betweenness and closeness. From the result, two significant clusters were identified which included the experimentally proven five seed proteins. These findings helped in identifying important hub proteins and their direct interacting partners that could be considered as therapeutic biomarkers for treating disease.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Biology and Drug Design (IJCBDD):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook