Literature DB >> 28506671

Modeling of flux, binding and substitution of urea molecules in the urea transporter dvUT.

Hai-Tian Zhang1, Zhe Wang2, Tao Yu2, Jian-Ping Sang3, Xian-Wu Zou1, Xiaoqin Zou4.   

Abstract

Urea transporters (UTs) are transmembrane proteins that transport urea molecules across cell membranes and play a crucial role in urea excretion and water balance. Modeling the functional characteristics of UTs helps us understand how their structures accomplish the functions at the atomic level, and facilitates future therapeutic design targeting the UTs. This study was based on the crystal structure of Desulfovibrio vulgaris urea transporter (dvUT). To model the binding behavior of urea molecules in dvUT, we constructed a cooperative binding model. To model the substitution of urea by the urea analogue N,N'-dimethylurea (DMU) in dvUT, we calculated the occupation probability of DMU along the urea pore and the ratio of the occupation probabilities of DMU at the external (Sext) and internal (Sint) binding sites, and we established the mutual substitution rule for binding and substitution of urea and DMU. Based on these calculations and modelings, together with the use of the Monte Carlo (MC) method, we further modeled the urea flux in dvUT, equilibrium urea binding to dvUT, and the substitution of urea by DMU in the dvUT. Our modeling results are in good agreement with the existing experimental functional data. Furthermore, the modelings have discovered the microscopic process and mechanisms of those functional characteristics. The methods and the results would help our future understanding of the underlying mechanisms of the diseases associated with impaired UT functions and rational drug design for the treatment of these diseases.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Membrane proteins; Molecular dynamics simulations; Molecular modeling; Monte Carlo methods; Urea transporter

Mesh:

Substances:

Year:  2017        PMID: 28506671      PMCID: PMC5685562          DOI: 10.1016/j.jmgm.2017.04.022

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  18 in total

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