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Review

Computational Modeling of Human Dopamine Transporter Structures, Mechanism and Its Interaction with HIV-1 Transactivator of Transcription

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Pages 2077-2089 | Received 07 Jul 2016, Accepted 20 Aug 2016, Published online: 14 Oct 2016
 

Abstract

This is a brief review of computational modeling studies on the detailed structures and mechanism of human dopamine transporter (hDAT), as well as its interaction with HIV-1 transactivator of transcription (Tat). Extensive molecular modeling, docking and dynamics simulations have resulted in reasonable structural models of hDAT in three typical conformational states, its dopamine uptake mechanism and its interaction with Tat. The obtained hDAT models in different conformational states and their complexes with dopamine and Tat have provided novel structural and mechanistic insights concerning how hDAT uptakes dopamine and how Tat affects the dopamine uptake by hDAT. The computational insights, that are consistent with available experimental data, should be valuable for future rational design of novel therapeutic strategies for treatment of HIV-associated neurocognitive disorders.

Financial & competing interests disclosure

The authors acknowledge the Computer Center at the University of Kentucky for supercomputing time on a Dell Supercomputer Cluster consisting of 388 nodes or 4816 processors. This work was supported in part by the NIH via grants R01 DA035714, R01 DA035552, R01 DA032910, R01 DA025100, and UL1 TR000117. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.

No writing assistance was utilized in the production of this manuscript.

Additional information

Funding

The authors acknowledge the Computer Center at the University of Kentucky for supercomputing time on a Dell Supercomputer Cluster consisting of 388 nodes or 4816 processors. This work was supported in part by the NIH via grants R01 DA035714, R01 DA035552, R01 DA032910, R01 DA025100, and UL1 TR000117. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.

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