Literature DB >> 31924303

Comparative modeling and docking of chemokine-receptor interactions with Rosetta.

Michael J Wedemeyer1, Benjamin K Mueller2, Brian J Bender3, Jens Meiler4, Brian F Volkman5.   

Abstract

Chemokine receptors are a subset of G protein-coupled receptors defined by the distinct property of binding small protein ligands in the chemokine family. Chemokine receptors recognize their ligands by a mechanism that is distinct from other class A GPCRs that bind peptides or small molecules. For this reason, structural information on other ligand-GPCR interactions are only indirectly relevant to understanding the chemokine receptor interface. Additionally, the experimentally determined structures of chemokine-GPCR complexes represent less than 3% of the known interactions of this complex, multi-ligand/multi-receptor network. To enable predictive modeling of the remaining 97% of interactions, a general in silico protocol was designed to utilize existing chemokine receptor crystal structures, co-crystal structures, and NMR ensembles of chemokines bound to receptor fragments. This protocol was benchmarked on the ability to predict each of the three published co-crystal structures, while being blinded to the target structure. Averaging ensembles selected from the top-ranking models reproduced up to 84% of the intermolecular contacts found in the crystal structure, with the lowest Cα-RMSD of the complex at 3.3 Å. The chemokine receptor N-terminus, unresolved in crystal structures, was included in the modeling and recapitulates contacts with known sulfotyrosine binding pockets seen in structures derived from experimental NMR data. This benchmarking experiment suggests that realistic homology models of chemokine-GPCR complexes can be generated by leveraging current structural data.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Chemokine; Chemokine receptor; G protein-coupled receptor; GPCR interface; Homology modeling; Rosetta

Mesh:

Substances:

Year:  2020        PMID: 31924303      PMCID: PMC7295663          DOI: 10.1016/j.bbrc.2019.12.076

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  47 in total

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Authors:  Yi Zheng; Gye Won Han; Ruben Abagyan; Beili Wu; Raymond C Stevens; Vadim Cherezov; Irina Kufareva; Tracy M Handel
Journal:  Immunity       Date:  2017-06-20       Impact factor: 31.745

Review 2.  Chemokine: receptor structure, interactions, and antagonism.

Authors:  Samantha J Allen; Susan E Crown; Tracy M Handel
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Journal:  Science       Date:  2015-01-22       Impact factor: 47.728

4.  Structural biology. Structural basis for chemokine recognition and activation of a viral G protein-coupled receptor.

Authors:  John S Burg; Jessica R Ingram; A J Venkatakrishnan; Kevin M Jude; Abhiram Dukkipati; Evan N Feinberg; Alessandro Angelini; Deepa Waghray; Ron O Dror; Hidde L Ploegh; K Christopher Garcia
Journal:  Science       Date:  2015-03-06       Impact factor: 47.728

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Review 6.  Mechanisms of Regulation of the Chemokine-Receptor Network.

Authors:  Martin J Stone; Jenni A Hayward; Cheng Huang; Zil E Huma; Julie Sanchez
Journal:  Int J Mol Sci       Date:  2017-02-07       Impact factor: 5.923

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Journal:  Nucleic Acids Res       Date:  2019-07-02       Impact factor: 16.971

8.  Automated builder and database of protein/membrane complexes for molecular dynamics simulations.

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Journal:  PLoS One       Date:  2007-09-12       Impact factor: 3.240

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Authors:  Jumin Lee; Xi Cheng; Jason M Swails; Min Sun Yeom; Peter K Eastman; Justin A Lemkul; Shuai Wei; Joshua Buckner; Jong Cheol Jeong; Yifei Qi; Sunhwan Jo; Vijay S Pande; David A Case; Charles L Brooks; Alexander D MacKerell; Jeffery B Klauda; Wonpil Im
Journal:  J Chem Theory Comput       Date:  2015-12-03       Impact factor: 6.006

10.  Visualization and analysis of non-covalent contacts using the Protein Contacts Atlas.

Authors:  Melis Kayikci; A J Venkatakrishnan; James Scott-Brown; Charles N J Ravarani; Tilman Flock; M Madan Babu
Journal:  Nat Struct Mol Biol       Date:  2018-01-15       Impact factor: 15.369

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