Literature DB >> 29419816

Structural prediction of protein models using distance restraints derived from cross-linking mass spectrometry data.

Zsuzsanna Orbán-Németh1,2, Rebecca Beveridge1,2, David M Hollenstein3, Evelyn Rampler1,2,4, Thomas Stranzl1,2, Otto Hudecz1,2, Johannes Doblmann1,2, Peter Schlögelhofer5, Karl Mechtler1,2.   

Abstract

This protocol describes a workflow for creating structural models of proteins or protein complexes using distance restraints derived from cross-linking mass spectrometry experiments. The distance restraints are used (i) to adjust preliminary models that are calculated on the basis of a homologous template and primary sequence, and (ii) to select the model that is in best agreement with the experimental data. In the case of protein complexes, the cross-linking data are further used to dock the subunits to one another to generate models of the interacting proteins. Predicting models in such a manner has the potential to indicate multiple conformations and dynamic changes that occur in solution. This modeling protocol is compatible with many cross-linking workflows and uses open-source programs or programs that are free for academic users and do not require expertise in computational modeling. This protocol is an excellent additional application with which to use cross-linking results for building structural models of proteins. The established protocol is expected to take 6-12 d to complete, depending on the size of the proteins and the complexity of the cross-linking data.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 29419816      PMCID: PMC5999019          DOI: 10.1038/nprot.2017.146

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  52 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

Review 2.  Crosslinking and Mass Spectrometry: An Integrated Technology to Understand the Structure and Function of Molecular Machines.

Authors:  Alexander Leitner; Marco Faini; Florian Stengel; Ruedi Aebersold
Journal:  Trends Biochem Sci       Date:  2015-12-01       Impact factor: 13.807

Review 3.  XL-MS: Protein cross-linking coupled with mass spectrometry.

Authors:  Andrew N Holding
Journal:  Methods       Date:  2015-06-12       Impact factor: 3.608

4.  SIM-XL: A powerful and user-friendly tool for peptide cross-linking analysis.

Authors:  Diogo B Lima; Tatiani B de Lima; Tiago S Balbuena; Ana Gisele C Neves-Ferreira; Valmir C Barbosa; Fábio C Gozzo; Paulo C Carvalho
Journal:  J Proteomics       Date:  2015-01-29       Impact factor: 4.044

5.  Structural characterization by cross-linking reveals the detailed architecture of a coatomer-related heptameric module from the nuclear pore complex.

Authors:  Yi Shi; Javier Fernandez-Martinez; Elina Tjioe; Riccardo Pellarin; Seung Joong Kim; Rosemary Williams; Dina Schneidman-Duhovny; Andrej Sali; Michael P Rout; Brian T Chait
Journal:  Mol Cell Proteomics       Date:  2014-08-26       Impact factor: 5.911

6.  Xilmass: A New Approach toward the Identification of Cross-Linked Peptides.

Authors:  Şule Yılmaz; Friedel Drepper; Niels Hulstaert; Maša Černič; Kris Gevaert; Anastassios Economou; Bettina Warscheid; Lennart Martens; Elien Vandermarliere
Journal:  Anal Chem       Date:  2016-09-28       Impact factor: 6.986

7.  Crystal structure of Hop2-Mnd1 and mechanistic insights into its role in meiotic recombination.

Authors:  Hyun-Ah Kang; Ho-Chul Shin; Alexandra-Styliani Kalantzi; Christopher P Toseland; Hyun-Min Kim; Stephan Gruber; Matteo Dal Peraro; Byung-Ha Oh
Journal:  Nucleic Acids Res       Date:  2015-03-03       Impact factor: 16.971

8.  An innovative method to study target protein-drug interactions by mass spectrometry.

Authors:  Mathias Q Müller; Leo J de Koning; Andreas Schmidt; Christian Ihling; Yvonne Syha; Oliver Rau; Karl Mechtler; Manfred Schubert-Zsilavecz; Andrea Sinz
Journal:  J Med Chem       Date:  2009-05-14       Impact factor: 7.446

9.  I-TASSER server for protein 3D structure prediction.

Authors:  Yang Zhang
Journal:  BMC Bioinformatics       Date:  2008-01-23       Impact factor: 3.169

10.  xVis: a web server for the schematic visualization and interpretation of crosslink-derived spatial restraints.

Authors:  Maximilian Grimm; Tomasz Zimniak; Abdullah Kahraman; Franz Herzog
Journal:  Nucleic Acids Res       Date:  2015-05-08       Impact factor: 16.971

View more
  19 in total

1.  Structural Dynamics of the Activation of Elongation Factor 2 Kinase by Ca2+-Calmodulin.

Authors:  Nathan Will; Kwangwoon Lee; Fatlum Hajredini; David H Giles; Rinat R Abzalimov; Michael Clarkson; Kevin N Dalby; Ranajeet Ghose
Journal:  J Mol Biol       Date:  2018-05-22       Impact factor: 5.469

2.  Tools for 3D Interactome Visualization.

Authors:  Andrew Keller; Juan D Chavez; Jimmy K Eng; Zorian Thornton; James E Bruce
Journal:  J Proteome Res       Date:  2018-12-18       Impact factor: 4.466

Review 3.  Chemical cross-linking with mass spectrometry: a tool for systems structural biology.

Authors:  Juan D Chavez; James E Bruce
Journal:  Curr Opin Chem Biol       Date:  2018-08-30       Impact factor: 8.822

4.  Systems structural biology measurements by in vivo cross-linking with mass spectrometry.

Authors:  Juan D Chavez; Jared P Mohr; Martin Mathay; Xuefei Zhong; Andrew Keller; James E Bruce
Journal:  Nat Protoc       Date:  2019-07-03       Impact factor: 13.491

Review 5.  Integrative structural modeling of macromolecular complexes using Assembline.

Authors:  Vasileios Rantos; Kai Karius; Jan Kosinski
Journal:  Nat Protoc       Date:  2021-11-29       Impact factor: 13.491

Review 6.  Toward an Understanding of the Structural and Mechanistic Aspects of Protein-Protein Interactions in 2-Oxoacid Dehydrogenase Complexes.

Authors:  Natalia S Nemeria; Xu Zhang; Joao Leandro; Jieyu Zhou; Luying Yang; Sander M Houten; Frank Jordan
Journal:  Life (Basel)       Date:  2021-04-29

Review 7.  In-Cell Labeling and Mass Spectrometry for Systems-Level Structural Biology.

Authors:  Juan D Chavez; Helisa H Wippel; Xiaoting Tang; Andrew Keller; James E Bruce
Journal:  Chem Rev       Date:  2021-07-07       Impact factor: 72.087

Review 8.  Protein Dynamics in Solution by Quantitative Crosslinking/Mass Spectrometry.

Authors:  Zhuo A Chen; Juri Rappsilber
Journal:  Trends Biochem Sci       Date:  2018-10-11       Impact factor: 13.807

9.  Integrative Modeling of a Sin3/HDAC Complex Sub-structure.

Authors:  Charles A S Banks; Ying Zhang; Sayem Miah; Yan Hao; Mark K Adams; Zhihui Wen; Janet L Thornton; Laurence Florens; Michael P Washburn
Journal:  Cell Rep       Date:  2020-04-14       Impact factor: 9.423

10.  In-Search Assignment of Monoisotopic Peaks Improves the Identification of Cross-Linked Peptides.

Authors:  Swantje Lenz; Sven H Giese; Lutz Fischer; Juri Rappsilber
Journal:  J Proteome Res       Date:  2018-10-24       Impact factor: 4.466

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.