Literature DB >> 34060630

GPCRsignal: webserver for analysis of the interface between G-protein-coupled receptors and their effector proteins by dynamics and mutations.

Przemysław Miszta1, Paweł Pasznik1, Szymon Niewieczerzał1, Jakub Jakowiecki1, Sławomir Filipek1.   

Abstract

GPCRsignal (https://gpcrsignal.biomodellab.eu/) is a webserver devoted to signaling complexes of G-protein-coupled receptors (GPCRs). The recent improvement in cryo-electron microscopy resulted in the determination of a large number of high-resolution structures of GPCRs bound to their effector proteins: G proteins or arrestins. Analyzing the interfaces between receptor and an effector protein is of high importance since a selection of proper G protein or specific conformation of arrestin leads to changes of signaling that can significantly affect action of drugs. GPCRsignal provides a possibility of running molecular dynamics simulations of all currently available GPCR-effector protein complexes for curated structures: wild-type, with crystal/cryo-EM mutations, or with mutations introduced by the user. The simulations are performed in an implicit water-membrane environment, so they are rather fast. User can run several simulations to obtain statistically valid results. The simulations can be analyzed separately using dynamic FlarePlots for particular types of interactions. One can also compare groups of simulations in Interaction frequency analysis as HeatMaps and also in interaction frequency difference analysis as sticks, linking the interacting residues, of different color and size proportional to differences in contact frequencies.
© The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2021        PMID: 34060630      PMCID: PMC8262697          DOI: 10.1093/nar/gkab434

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  36 in total

1.  NGL viewer: web-based molecular graphics for large complexes.

Authors:  Alexander S Rose; Anthony R Bradley; Yana Valasatava; Jose M Duarte; Andreas Prlic; Peter W Rose
Journal:  Bioinformatics       Date:  2018-11-01       Impact factor: 6.937

2.  Α-arrestins - new players in Notch and GPCR signaling pathways in mammals.

Authors:  Loredana Puca; Christel Brou
Journal:  J Cell Sci       Date:  2014-04-01       Impact factor: 5.285

3.  Structural Basis for G Protein-Coupled Receptor Signaling.

Authors:  Sarah C Erlandson; Conor McMahon; Andrew C Kruse
Journal:  Annu Rev Biophys       Date:  2018-03-02       Impact factor: 12.981

Review 4.  Structural insights into emergent signaling modes of G protein-coupled receptors.

Authors:  Ieva Sutkeviciute; Jean-Pierre Vilardaga
Journal:  J Biol Chem       Date:  2020-06-22       Impact factor: 5.157

5.  Independent HHsearch, Needleman--Wunsch-based, and motif analyses reveal the overall hierarchy for most of the G protein-coupled receptor families.

Authors:  Karl J V Nordström; Markus Sällman Almén; Monika M Edstam; Robert Fredriksson; Helgi B Schiöth
Journal:  Mol Biol Evol       Date:  2011-03-14       Impact factor: 16.240

6.  Structure and Dynamics of Adrenomedullin Receptors AM1 and AM2 Reveal Key Mechanisms in the Control of Receptor Phenotype by Receptor Activity-Modifying Proteins.

Authors:  Yi-Lynn Liang; Matthew J Belousoff; Madeleine M Fletcher; Xin Zhang; Maryam Khoshouei; Giuseppe Deganutti; Cassandra Koole; Sebastian G B Furness; Laurence J Miller; Debbie L Hay; Arthur Christopoulos; Christopher A Reynolds; Radostin Danev; Denise Wootten; Patrick M Sexton
Journal:  ACS Pharmacol Transl Sci       Date:  2020-03-20

Review 7.  Trends in GPCR drug discovery: new agents, targets and indications.

Authors:  Alexander S Hauser; Misty M Attwood; Mathias Rask-Andersen; Helgi B Schiöth; David E Gloriam
Journal:  Nat Rev Drug Discov       Date:  2017-10-27       Impact factor: 84.694

8.  How GPCR Phosphorylation Patterns Orchestrate Arrestin-Mediated Signaling.

Authors:  Naomi R Latorraca; Matthieu Masureel; Scott A Hollingsworth; Franziska M Heydenreich; Carl-Mikael Suomivuori; Connor Brinton; Raphael J L Townshend; Michel Bouvier; Brian K Kobilka; Ron O Dror
Journal:  Cell       Date:  2020-12-08       Impact factor: 41.582

9.  NGL Viewer: a web application for molecular visualization.

Authors:  Alexander S Rose; Peter W Hildebrand
Journal:  Nucleic Acids Res       Date:  2015-04-29       Impact factor: 16.971

10.  MolArt: a molecular structure annotation and visualization tool.

Authors:  David Hoksza; Piotr Gawron; Marek Ostaszewski; Reinhard Schneider
Journal:  Bioinformatics       Date:  2018-12-01       Impact factor: 6.937

View more
  1 in total

1.  COGRIMEN: Coarse-Grained Method for Modeling of Membrane Proteins in Implicit Environments.

Authors:  Przemysław Miszta; Paweł Pasznik; Szymon Niewieczerzał; Krzysztof Młynarczyk; Sławomir Filipek
Journal:  J Chem Theory Comput       Date:  2022-08-23       Impact factor: 6.578

  1 in total

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