Literature DB >> 29526436

Integrated Structural Biology for α-Helical Membrane Protein Structure Determination.

Yan Xia1, Axel W Fischer1, Pedro Teixeira2, Brian Weiner2, Jens Meiler3.   

Abstract

While great progress has been made, only 10% of the nearly 1,000 integral, α-helical, multi-span membrane protein families are represented by at least one experimentally determined structure in the PDB. Previously, we developed the algorithm BCL::MP-Fold, which samples the large conformational space of membrane proteins de novo by assembling predicted secondary structure elements guided by knowledge-based potentials. Here, we present a case study of rhodopsin fold determination by integrating sparse and/or low-resolution restraints from multiple experimental techniques including electron microscopy, electron paramagnetic resonance spectroscopy, and nuclear magnetic resonance spectroscopy. Simultaneous incorporation of orthogonal experimental restraints not only significantly improved the sampling accuracy but also allowed identification of the correct fold, which is demonstrated by a protein size-normalized transmembrane root-mean-square deviation as low as 1.2 Å. The protocol developed in this case study can be used for the determination of unknown membrane protein folds when limited experimental restraints are available.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  EM; EPR; Monte Carlo Metropolis; NMR; Rosetta; ab initio; de novo folding; integrated structural biology; protein modeling

Mesh:

Substances:

Year:  2018        PMID: 29526436      PMCID: PMC5884713          DOI: 10.1016/j.str.2018.02.006

Source DB:  PubMed          Journal:  Structure        ISSN: 0969-2126            Impact factor:   5.006


  65 in total

1.  Studies on the structure of the G-protein-coupled receptor rhodopsin including the putative G-protein binding site in unactivated and activated forms.

Authors:  P L Yeagle; G Choi; A D Albert
Journal:  Biochemistry       Date:  2001-10-02       Impact factor: 3.162

2.  Cyclic coordinate descent: A robotics algorithm for protein loop closure.

Authors:  Adrian A Canutescu; Roland L Dunbrack
Journal:  Protein Sci       Date:  2003-05       Impact factor: 6.725

3.  Multipass membrane protein structure prediction using Rosetta.

Authors:  Vladimir Yarov-Yarovoy; Jack Schonbrun; David Baker
Journal:  Proteins       Date:  2006-03-01

4.  A limited universe of membrane protein families and folds.

Authors:  Amit Oberai; Yungok Ihm; Sanguk Kim; James U Bowie
Journal:  Protein Sci       Date:  2006-07       Impact factor: 6.725

5.  De novo high-resolution protein structure determination from sparse spin-labeling EPR data.

Authors:  Nathan Alexander; Marco Bortolus; Ahmad Al-Mestarihi; Hassane Mchaourab; Jens Meiler
Journal:  Structure       Date:  2008-02       Impact factor: 5.006

6.  Trends in structural coverage of the protein universe and the impact of the Protein Structure Initiative.

Authors:  Kamil Khafizov; Carlos Madrid-Aliste; Steven C Almo; Andras Fiser
Journal:  Proc Natl Acad Sci U S A       Date:  2014-02-24       Impact factor: 11.205

7.  Structure of a class C GPCR metabotropic glutamate receptor 1 bound to an allosteric modulator.

Authors:  Huixian Wu; Chong Wang; Karen J Gregory; Gye Won Han; Hyekyung P Cho; Yan Xia; Colleen M Niswender; Vsevolod Katritch; Jens Meiler; Vadim Cherezov; P Jeffrey Conn; Raymond C Stevens
Journal:  Science       Date:  2014-03-06       Impact factor: 47.728

8.  A smoothed backbone-dependent rotamer library for proteins derived from adaptive kernel density estimates and regressions.

Authors:  Maxim V Shapovalov; Roland L Dunbrack
Journal:  Structure       Date:  2011-06-08       Impact factor: 5.006

Review 9.  The role of protein dynamics in GPCR function: insights from the β2AR and rhodopsin.

Authors:  Aashish Manglik; Brian Kobilka
Journal:  Curr Opin Cell Biol       Date:  2014-02-17       Impact factor: 8.382

10.  Visualization of arrestin recruitment by a G-protein-coupled receptor.

Authors:  Arun K Shukla; Gerwin H Westfield; Kunhong Xiao; Rosana I Reis; Li-Yin Huang; Prachi Tripathi-Shukla; Jiang Qian; Sheng Li; Adi Blanc; Austin N Oleskie; Anne M Dosey; Min Su; Cui-Rong Liang; Ling-Ling Gu; Jin-Ming Shan; Xin Chen; Rachel Hanna; Minjung Choi; Xiao Jie Yao; Bjoern U Klink; Alem W Kahsai; Sachdev S Sidhu; Shohei Koide; Pawel A Penczek; Anthony A Kossiakoff; Virgil L Woods; Brian K Kobilka; Georgios Skiniotis; Robert J Lefkowitz
Journal:  Nature       Date:  2014-06-22       Impact factor: 49.962

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  3 in total

Review 1.  Hybrid methods for combined experimental and computational determination of protein structure.

Authors:  Justin T Seffernick; Steffen Lindert
Journal:  J Chem Phys       Date:  2020-12-28       Impact factor: 3.488

2.  Rapid Simulation of Unprocessed DEER Decay Data for Protein Fold Prediction.

Authors:  Diego Del Alamo; Maxx H Tessmer; Richard A Stein; Jimmy B Feix; Hassane S Mchaourab; Jens Meiler
Journal:  Biophys J       Date:  2019-12-18       Impact factor: 4.033

3.  Modeling of protein conformational changes with Rosetta guided by limited experimental data.

Authors:  Davide Sala; Diego Del Alamo; Hassane S Mchaourab; Jens Meiler
Journal:  Structure       Date:  2022-05-20       Impact factor: 5.871

  3 in total

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