Literature DB >> 16729264

Ab initio computational modeling of loops in G-protein-coupled receptors: lessons from the crystal structure of rhodopsin.

Ernest L Mehler1, Sergio A Hassan, Sandhya Kortagere, Harel Weinstein.   

Abstract

With the help of the crystal structure of rhodopsin an ab initio method has been developed to calculate the three-dimensional structure of the loops that connect the transmembrane helices (TMHs). The goal of this procedure is to calculate the loop structures in other G-protein coupled receptors (GPCRs) for which only model coordinates of the TMHs are available. To mimic this situation a construct of rhodopsin was used that only includes the experimental coordinates of the TMHs while the rest of the structure, including the terminal domains, has been removed. To calculate the structure of the loops a method was designed based on Monte Carlo (MC) simulations which use a temperature annealing protocol, and a scaled collective variables (SCV) technique with proper structural constraints. Because only part of the protein is used in the calculations the usual approach of modeling loops, which consists of finding a single, lowest energy conformation of the system, is abandoned because such a single structure may not be a representative member of the native ensemble. Instead, the method was designed to generate structural ensembles from which the single lowest free energy ensemble is identified as representative of the native folding of the loop. To find the native ensemble a successive series of SCV-MC simulations are carried out to allow the loops to undergo structural changes in a controlled manner. To increase the chances of finding the native funnel for the loop, some of the SCV-MC simulations are carried out at elevated temperatures. The native ensemble can be identified by an MC search starting from any conformation already in the native funnel. The hypothesis is that native structures are trapped in the conformational space because of the high-energy barriers that surround the native funnel. The existence of such ensembles is demonstrated by generating multiple copies of the loops from their crystal structures in rhodopsin and carrying out an extended SCV-MC search. For the extracellular loops e1 and e3, and the intracellular loop i1 that were used in this work, the procedure resulted in dense clusters of structures with Calpha-RMSD approximately 0.5 angstroms. To test the predictive power of the method the crystal structure of each loop was replaced by its extended conformations. For e1 and i1 the procedure identifies native clusters with Calpha-RMSD approximately 0.5 angstroms and good structural overlap of the side chains; for e3, two clusters were found with Calpha-RMSD approximately 1.1 angstroms each, but with poor overlap of the side chains. Further searching led to a single cluster with lower Calpha-RMSD but higher energy than the two previous clusters. This discrepancy was found to be due to the missing elements in the constructs available from experiment for use in the calculations. Because this problem will likely appear whenever parts of the structural information are missing, possible solutions are discussed.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16729264     DOI: 10.1002/prot.21022

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  21 in total

1.  Ab initio computational modeling of long loops in G-protein coupled receptors.

Authors:  Sandhya Kortagere; Amitava Roy; Ernest L Mehler
Journal:  J Comput Aided Mol Des       Date:  2006-09-14       Impact factor: 3.686

2.  Development and application of hybrid structure based method for efficient screening of ligands binding to G-protein coupled receptors.

Authors:  Sandhya Kortagere; William J Welsh
Journal:  J Comput Aided Mol Des       Date:  2006-10-13       Impact factor: 3.686

3.  Loopholes and missing links in protein modeling.

Authors:  Karen A Rossi; Carolyn A Weigelt; Akbar Nayeem; Stanley R Krystek
Journal:  Protein Sci       Date:  2007-07-27       Impact factor: 6.725

4.  Modulation of opioid receptor affinity and efficacy via N-substitution of 9β-hydroxy-5-(3-hydroxyphenyl)morphan: Synthesis and computer simulation study.

Authors:  Phong M Truong; Sergio A Hassan; Yong-Sok Lee; Theresa A Kopajtic; Jonathan L Katz; Aaron M Chadderdon; John R Traynor; Jeffrey R Deschamps; Arthur E Jacobson; Kenner C Rice
Journal:  Bioorg Med Chem       Date:  2017-03-01       Impact factor: 3.641

5.  Structural and dynamic determinants of ligand binding and regulation of cyclin-dependent kinase 5 by pathological activator p25 and inhibitory peptide CIP.

Authors:  A Cardone; S A Hassan; R W Albers; R D Sriram; H C Pant
Journal:  J Mol Biol       Date:  2010-06-25       Impact factor: 5.469

6.  Specific and non-specific protein association in solution: computation of solvent effects and prediction of first-encounter modes for efficient configurational bias Monte Carlo simulations.

Authors:  Antonio Cardone; Harish Pant; Sergio A Hassan
Journal:  J Phys Chem B       Date:  2013-10-07       Impact factor: 2.991

7.  Prediction of protein loop structures using a local move Monte Carlo approach and a grid-based force field.

Authors:  Meng Cui; Mihaly Mezei; Roman Osman
Journal:  Protein Eng Des Sel       Date:  2008-10-27       Impact factor: 1.650

8.  Identifying conformational changes of the beta(2) adrenoceptor that enable accurate prediction of ligand/receptor interactions and screening for GPCR modulators.

Authors:  Kimberly A Reynolds; Vsevolod Katritch; Ruben Abagyan
Journal:  J Comput Aided Mol Des       Date:  2009-01-16       Impact factor: 3.686

9.  Intramolecular disulfide bonds of the prolactin receptor short form are required for its inhibitory action on the function of the long form of the receptor.

Authors:  Y-L Xie; S A Hassan; A M Qazi; C H Tsai-Morris; M L Dufau
Journal:  Mol Cell Biol       Date:  2009-03-09       Impact factor: 4.272

10.  An amino acid residue in the second extracellular loop determines the agonist-dependent tolerance property of the human D3 dopamine receptor.

Authors:  Sara Gil-Mast; Sandhya Kortagere; Kokila Kota; Eldo V Kuzhikandathil
Journal:  ACS Chem Neurosci       Date:  2013-03-21       Impact factor: 4.418

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.