BACK TO CONTENTS   |    PDF   |    PREVIOUS   |    NEXT


Title

Screening of Human Proteins for Fluoride and Aluminum Binding

 

Authors

Md. Kamrul Hasan1,#, Saruar Alam1,#, Jovan Mirkovic2, Md. Faruk Hossain2,*

 

Affiliation

1Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh;

2Department of Biological Sciences, St.John's University, Queens, New York 11439;

 

Email

farukbmb16@gmail.com;

 

Article Type

Hypothesis

 

Date

Received January 17, 2018; Revised February 6, 2018; Accepted February 7, 2018; Published February 28, 2018

 

Abstract

Previous studies showed that prolonged exposure to fluoride (F-) and aluminum (Al3+) ions is associated with numerous diseases including neurological disorders. They don’t have any known biological function. But they can bind with proteins that interact with ions similar to them. Such unwanted interactions affect the normal biological function of the target proteins, as well as their downstream protein-protein interactions. Several studies show the detrimental effects posed by them including Alzheimer’s disease. However, their target proteins have never been reported. Here, we have screened for the human protein targets subjected to F- and Al3+ interactions by using data-driven prediction tools. We have identified 20 different proteins that directly bind with them (10 interact with fluoride and 10 with aluminum). In addition, protein-protein interaction has been explored to find the proteins that indirectly interact with F- and Al3+. We have found 86 indirect targets for F- and 90 for Al3+. Furthermore, 19 common protein targets have been identified, including proteins (9 out of 19) associated with neurodegenerative disorders. However, wet lab experiments are beyond our scopes to validate the binding networks. Additional studies must be warranted.

 

Keywords

Fluoride, Aluminium, Neurodegenerative disorders, Human Health

 

Citation

Hasan et al. Bioinformation 14(2): 68-74 (2018)

 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.