A Computational Approach for Understanding the Interactions between Graphene Oxide and Nucleoside Diphosphate Kinase with Implications for Heart Failure

Document Type

Article

Publication Date

1-23-2018

Abstract

During a heart failure, an increased content and activity of nucleoside diphosphate kinase (NDPK) in the sarcolemmal membrane is responsible for suppressing the formation of the second messenger cyclic adenosine monophosphate (cAMP)—a key component required for calcium ion homeostasis for the proper systolic and diastolic functions. Typically, this increased NDPK content lets the surplus NDPK react with a mutated G protein in the beta-adrenergic signal transduction pathway, thereby inhibiting cAMP synthesis. Thus, it is thus that inhibition of NDPK may cause a substantial increase in adenylate cyclase activity, which in turn may be a potential therapy for end-stage heart failure patients. However, there is little information available about the molecular events at the interface of NDPK and any prospective molecule that may potentially influence its reactive site (His118). Here we report a novel computational approach for understanding the interactions between graphene oxide (GO) and NDPK. Using molecular dynamics, it is found that GO interacts favorably with the His118 residue of NDPK to potentially prevent its binding with adenosine triphosphate (ATP), which otherwise would trigger the phosphorylation of the mutated G protein. Therefore, this will result in an increase in cAMP levels during heart failure.

Comments

© 2018 by the authors.

A link to freely available content has been provided.


Publication Title

Nanomaterials

Published Citation

Ray, Anushka, Isaac Macwan, Shrishti Singh, Sushila Silwal, and Prabir Patra. “A Computational Approach for Understanding the Interactions Between Graphene Oxide and Nucleoside Diphosphate Kinase with Implications for Heart Failure.” Nanomaterials 8, no. 2 (January 23, 2018): 57. doi:10.3390/nano8020057.

DOI

10.3390/nano8020057

Peer Reviewed

Share

COinS