Literature DB >> 26575777

How To Minimize Artifacts in Atomistic Simulations of Membrane Proteins, Whose Crystal Structure Is Heavily Engineered: β₂-Adrenergic Receptor in the Spotlight.

Moutusi Manna1, Waldemar Kulig1, Matti Javanainen1, Joona Tynkkynen1, Ulf Hensen2, Daniel J Müller2, Tomasz Rog1, Ilpo Vattulainen1,3.   

Abstract

Atomistic molecular dynamics (MD) simulations are used extensively to elucidate membrane protein properties. These simulations are based on three-dimensional protein structures that in turn are often based on crystallography. The protein structures resolved in crystallographic studies typically do not correspond to pristine proteins, however. Instead the crystallized proteins are commonly engineered, including structural modifications (mutations, replacement of protein sequences by antibodies, bound ligands, etc.) whose impact on protein structure and dynamics is largely unknown. Here we explore this issue through atomistic MD simulations (∼5 μs in total), focusing on the β2-adrenergic receptor (β2AR) that is one of the most studied members of the G-protein coupled receptor superfamily. Starting from an inactive-state crystal structure of β2AR, we remove the many modifications in β2AR systematically one at a time, in six consecutive steps. After each step, we equilibrate the system and simulate it quite extensively. The results of this step-by-step approach highlight that the structural modifications used in crystallization can affect ligand and G-protein binding sites, packing at the transmembrane-helix interface region, and the dynamics of connecting loops in β2AR. When the results of the systematic step-by-step approach are compared to an all-at-once technique where all modifications done on β2AR are removed instantaneously at the same time, it turns out that the step-by-step method provides results that are superior in terms of maintaining protein structural stability. The results provide compelling evidence that for membrane proteins whose 3D structure is based on structural engineering, the preparation of protein structure for atomistic MD simulations is a delicate and sensitive process. The results show that most valid results are found when the structural modifications are reverted slowly, one at a time.

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Year:  2015        PMID: 26575777     DOI: 10.1021/acs.jctc.5b00070

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  7 in total

1.  Multiscale Simulations of Biological Membranes: The Challenge To Understand Biological Phenomena in a Living Substance.

Authors:  Giray Enkavi; Matti Javanainen; Waldemar Kulig; Tomasz Róg; Ilpo Vattulainen
Journal:  Chem Rev       Date:  2019-03-12       Impact factor: 60.622

2.  Lipid-Protein Interactions Are a Unique Property and Defining Feature of G Protein-Coupled Receptors.

Authors:  Besian I Sejdiu; D Peter Tieleman
Journal:  Biophys J       Date:  2020-03-20       Impact factor: 4.033

3.  Analysis of L-DOPA and droxidopa binding to human β2-adrenergic receptor.

Authors:  Akash Deep Biswas; Andrea Catte; Giordano Mancini; Vincenzo Barone
Journal:  Biophys J       Date:  2021-11-10       Impact factor: 4.033

Review 4.  Computer Simulations of Deep Eutectic Solvents: Challenges, Solutions, and Perspectives.

Authors:  Dmitry Tolmachev; Natalia Lukasheva; Ruslan Ramazanov; Victor Nazarychev; Natalia Borzdun; Igor Volgin; Maria Andreeva; Artyom Glova; Sofia Melnikova; Alexey Dobrovskiy; Steven A Silber; Sergey Larin; Rafael Maglia de Souza; Mauro Carlos Costa Ribeiro; Sergey Lyulin; Mikko Karttunen
Journal:  Int J Mol Sci       Date:  2022-01-07       Impact factor: 5.923

5.  Mechanism of allosteric regulation of β2-adrenergic receptor by cholesterol.

Authors:  Moutusi Manna; Miia Niemelä; Joona Tynkkynen; Matti Javanainen; Waldemar Kulig; Daniel J Müller; Tomasz Rog; Ilpo Vattulainen
Journal:  Elife       Date:  2016-11-29       Impact factor: 8.140

6.  Temperature dependence of protein-water interactions in a gated yeast aquaporin.

Authors:  Camilo Aponte-Santamaría; Gerhard Fischer; Petra Båth; Richard Neutze; Bert L de Groot
Journal:  Sci Rep       Date:  2017-06-21       Impact factor: 4.379

7.  Exploring the Ligand Efficacy of Cannabinoid Receptor 1 (CB1) using Molecular Dynamics Simulations.

Authors:  Sang Won Jung; Art E Cho; Wookyung Yu
Journal:  Sci Rep       Date:  2018-09-13       Impact factor: 4.379

  7 in total

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