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1.
Endocrinology ; 162(7)2021 07 01.
Artigo em Inglês | MEDLINE | ID: mdl-33693584

RESUMO

The thyroid-stimulating hormone receptor (TSHR) is a G-protein-coupled receptor group A family member with 7 transmembrane helices. We generated 3 new models of its entire transmembrane region using a 600 ns molecular simulation. The simulation started from our previously published model, which we have now revised by also modeling the intracellular loops and the C-terminal tail, adding internal waters and embedding it into a lipid bilayer with a water layer and with ions added to complete the system. We have named this model TSHR-TMD-TRIO since 3 representative dominant structures were then extracted from the simulation trajectory and compared with the original model. These structures each showed small but significant changes in the relative positions of the helices. The 3 models were also used as targets to dock a set of small molecules that are known active compounds including a new TSHR antagonist (BT362), which confirmed the appropriateness of the model with some small molecules showing significant preference for one or other of the structures.


Assuntos
Modelos Moleculares , Receptores da Tireotropina/química , Membrana Celular/química , Humanos , Ligação de Hidrogênio , Simulação de Acoplamento Molecular , Método de Monte Carlo , Domínios Proteicos , Estrutura Secundária de Proteína , Receptores da Tireotropina/antagonistas & inibidores , Tireotropina/farmacologia
2.
J Biomol Struct Dyn ; 33(5): 1140-52, 2015.
Artigo em Inglês | MEDLINE | ID: mdl-25012978

RESUMO

Metropolis Monte Carlo (MMC) loop refinement has been performed on the three extracellular loops (ECLs) of rhodopsin and opsin-based homology models of the thyroid-stimulating hormone receptor transmembrane domain, a class A type G protein-coupled receptor. The Monte Carlo sampling technique, employing torsion angles of amino acid side chains and local moves for the six consecutive backbone torsion angles, has previously reproduced the conformation of several loops with known crystal structures with accuracy consistently less than 2 Å. A grid-based potential map, which includes van der Waals, electrostatics, hydrophobic as well as hydrogen-bond potentials for bulk protein environment and the solvation effect, has been used to significantly reduce the computational cost of energy evaluation. A modified sigmoidal distance-dependent dielectric function has been implemented in conjunction with the desolvation and hydrogen-bonding terms. A long high-temperature simulation with 2 kcal/mol repulsion potential resulted in extensive sampling of the conformational space. The slow annealing leading to the low-energy structures predicted secondary structure by the MMC technique. Molecular docking with the reported agonist reproduced the binding site within 1.5 Å. Virtual screening performed on the three lowest structures showed that the ligand-binding mode in the inter-helical region is dependent on the ECL conformations.


Assuntos
Método de Monte Carlo , Conformação Proteica , Estrutura Secundária de Proteína , Estrutura Terciária de Proteína , Receptores da Tireotropina/química , Algoritmos , Sequência de Aminoácidos , Sítios de Ligação/genética , Cristalografia por Raios X , Ligação de Hidrogênio , Interações Hidrofóbicas e Hidrofílicas , Ligantes , Simulação de Dinâmica Molecular , Dados de Sequência Molecular , Ligação Proteica , Receptores Acoplados a Proteínas G/química , Receptores Acoplados a Proteínas G/genética , Receptores Acoplados a Proteínas G/metabolismo , Receptores da Tireotropina/genética , Receptores da Tireotropina/metabolismo , Rodopsina/química , Rodopsina/genética , Rodopsina/metabolismo , Homologia de Sequência de Aminoácidos , Eletricidade Estática , Termodinâmica
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