Monte Carlo loop refinement and virtual screening of the thyroid-stimulating hormone receptor transmembrane domain

被引:14
作者
Ali, M. Rejwan [1 ,2 ]
Latif, Rauf [1 ,2 ]
Davies, Terry F. [1 ,2 ]
Mezei, Mihaly [3 ]
机构
[1] Icahn Sch Med Mt Sinai, Thyroid Res Unit, New York, NY 10029 USA
[2] James J Peters Vet Affairs Med Ctr, New York, NY USA
[3] Icahn Sch Med Mt Sinai, Dept Struct & Chem Biol, New York, NY 10029 USA
关键词
Metropolis Monte Carlo (MMC); homology modeling; ECL; class A GPCR; TSHR; virtual screening; PROTEIN-COUPLED RECEPTORS; CRYSTAL-STRUCTURE; EXTRACELLULAR LOOPS; TSH RECEPTOR; MOLECULAR DOCKING; SCORING FUNCTION; HOMOLOGY MODELS; IN-SILICO; SIMULATION; PREDICTION;
D O I
10.1080/07391102.2014.932310
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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 angstrom. 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 angstrom. 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.
引用
收藏
页码:1140 / 1152
页数:13
相关论文
共 60 条
[1]   Recent Advances in Structure-Based Virtual Screening of G-Protein Coupled Receptors [J].
Ananthan, Subramaniam ;
Zhang, Wei ;
Hobrath, Judith Varady .
AAPS JOURNAL, 2009, 11 (01) :178-185
[2]  
[Anonymous], PROTEIN SCI
[3]   Reorganizing the protein space at the Universal Protein Resource (UniProt) [J].
Apweiler, Rolf ;
Martin, Maria Jesus ;
O'Donovan, Claire ;
Magrane, Michele ;
Alam-Faruque, Yasmin ;
Antunes, Ricardo ;
Casanova, Elisabet Barrera ;
Bely, Benoit ;
Bingley, Mark ;
Bower, Lawrence ;
Bursteinas, Borisas ;
Chan, Wei Mun ;
Chavali, Gayatri ;
Da Silva, Alan ;
Dimmer, Emily ;
Eberhardt, Ruth ;
Fazzini, Francesco ;
Fedotov, Alexander ;
Garavelli, John ;
Castro, Leyla Garcia ;
Gardner, Michael ;
Hieta, Reija ;
Huntley, Rachael ;
Jacobsen, Julius ;
Legge, Duncan ;
Liu, Wudong ;
Luo, Jie ;
Orchard, Sandra ;
Patient, Samuel ;
Pichler, Klemens ;
Poggioli, Diego ;
Pontikos, Nikolas ;
Pundir, Sangya ;
Rosanoff, Steven ;
Sawford, Tony ;
Sehra, Harminder ;
Turner, Edward ;
Wardell, Tony ;
Watkins, Xavier ;
Corbett, Matt ;
Donnelly, Mike ;
van Rensburg, Pieter ;
Goujon, Mickael ;
McWilliam, Hamish ;
Lopez, Rodrigo ;
Xenarios, Ioannis ;
Bougueleret, Lydie ;
Bridge, Alan ;
Poux, Sylvain ;
Redaschi, Nicole .
NUCLEIC ACIDS RESEARCH, 2012, 40 (D1) :D71-D75
[4]   The SWISS-MODEL workspace: a web-based environment for protein structure homology modelling [J].
Arnold, K ;
Bordoli, L ;
Kopp, J ;
Schwede, T .
BIOINFORMATICS, 2006, 22 (02) :195-201
[5]   Automatic Determination of Stepsize Parameters in Monte Carlo Simulation Tested on a Bromodomain-Binding Octapeptide [J].
Banfelder, Jason R. ;
Speidel, Joshua A. ;
Mezei, Mihaly .
ALGORITHMS, 2009, 2 (01) :215-226
[6]   CHARMM - A PROGRAM FOR MACROMOLECULAR ENERGY, MINIMIZATION, AND DYNAMICS CALCULATIONS [J].
BROOKS, BR ;
BRUCCOLERI, RE ;
OLAFSON, BD ;
STATES, DJ ;
SWAMINATHAN, S ;
KARPLUS, M .
JOURNAL OF COMPUTATIONAL CHEMISTRY, 1983, 4 (02) :187-217
[7]   MolProbity: all-atom structure validation for macromolecular crystallography [J].
Chen, Vincent B. ;
Arendall, W. Bryan, III ;
Headd, Jeffrey J. ;
Keedy, Daniel A. ;
Immormino, Robert M. ;
Kapral, Gary J. ;
Murray, Laura W. ;
Richardson, Jane S. ;
Richardson, David C. .
ACTA CRYSTALLOGRAPHICA SECTION D-STRUCTURAL BIOLOGY, 2010, 66 :12-21
[8]   Progress in Structure Based Drug Design for G Protein-Coupled Receptors [J].
Congreve, Miles ;
Langmead, Christopher J. ;
Mason, Jonathan S. ;
Marshall, Fiona H. .
JOURNAL OF MEDICINAL CHEMISTRY, 2011, 54 (13) :4283-4311
[9]   On the applicability of GPCR homology models to computer-aided drug discovery:: A comparison between in silico and crystal structures of the β2-adrenergic receptor [J].
Costanzi, Stefano .
JOURNAL OF MEDICINAL CHEMISTRY, 2008, 51 (10) :2907-2914
[10]   Comparison of Several Molecular Docking Programs: Pose Prediction and Virtual Screening Accuracy [J].
Cross, Jason B. ;
Thompson, David C. ;
Rai, Brajesh K. ;
Baber, J. Christian ;
Fan, Kristi Yi ;
Hu, Yongbo ;
Humblet, Christine .
JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2009, 49 (06) :1455-1474