Autoencoder-based detection of the residues involved in G protein-coupled receptor signaling

Abstract Regulator binding and mutations alter protein dynamics. The transmission of the signal of these alterations to distant sites through protein motion results in changes in protein expression and cell function. The detection of residues involved in signal transmission contributes to an elucida...

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Main Authors: Yuko Tsuchiya, Kei Taneishi, Yasushige Yonezawa
Format: Article
Language:English
Published: Nature Publishing Group 2021-10-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-99019-z
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spelling doaj-932d74c13585440eb9ce44561746141e2021-10-10T11:28:38ZengNature Publishing GroupScientific Reports2045-23222021-10-011111910.1038/s41598-021-99019-zAutoencoder-based detection of the residues involved in G protein-coupled receptor signalingYuko Tsuchiya0Kei Taneishi1Yasushige Yonezawa2Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and TechnologyCenter for Advanced Photonics, RIKENHigh Pressure Protein Research Center, Institute of Advanced Technology, Kindai UniversityAbstract Regulator binding and mutations alter protein dynamics. The transmission of the signal of these alterations to distant sites through protein motion results in changes in protein expression and cell function. The detection of residues involved in signal transmission contributes to an elucidation of the mechanisms underlying processes as vast as cellular function and disease pathogenesis. We developed an autoencoder (AE) based method that detects residues essential for signaling by comparing the fluctuation data, particularly the time fluctuation of the side-chain distances between residues, during molecular dynamics simulations between the ligand-bound and -unbound forms or wild-type and mutant forms of proteins. Here, the AE-based method was applied to the G protein-coupled receptor (GPCR) system, particularly a class A-type GPCR, CXCR4, to detect the essential residues involved in signaling. Among the residues involved in the signaling of the homolog CXCR2, which were extracted from the literature based on the complex structures of the ligand and G protein, our method could detect more than half of the essential residues involved in G protein signaling, including those spanning the fifth and sixth transmembrane helices in the intracellular region, despite the lack of information regarding the interaction with G protein in our CXCR4 models.https://doi.org/10.1038/s41598-021-99019-z
collection DOAJ
language English
format Article
sources DOAJ
author Yuko Tsuchiya
Kei Taneishi
Yasushige Yonezawa
spellingShingle Yuko Tsuchiya
Kei Taneishi
Yasushige Yonezawa
Autoencoder-based detection of the residues involved in G protein-coupled receptor signaling
Scientific Reports
author_facet Yuko Tsuchiya
Kei Taneishi
Yasushige Yonezawa
author_sort Yuko Tsuchiya
title Autoencoder-based detection of the residues involved in G protein-coupled receptor signaling
title_short Autoencoder-based detection of the residues involved in G protein-coupled receptor signaling
title_full Autoencoder-based detection of the residues involved in G protein-coupled receptor signaling
title_fullStr Autoencoder-based detection of the residues involved in G protein-coupled receptor signaling
title_full_unstemmed Autoencoder-based detection of the residues involved in G protein-coupled receptor signaling
title_sort autoencoder-based detection of the residues involved in g protein-coupled receptor signaling
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2021-10-01
description Abstract Regulator binding and mutations alter protein dynamics. The transmission of the signal of these alterations to distant sites through protein motion results in changes in protein expression and cell function. The detection of residues involved in signal transmission contributes to an elucidation of the mechanisms underlying processes as vast as cellular function and disease pathogenesis. We developed an autoencoder (AE) based method that detects residues essential for signaling by comparing the fluctuation data, particularly the time fluctuation of the side-chain distances between residues, during molecular dynamics simulations between the ligand-bound and -unbound forms or wild-type and mutant forms of proteins. Here, the AE-based method was applied to the G protein-coupled receptor (GPCR) system, particularly a class A-type GPCR, CXCR4, to detect the essential residues involved in signaling. Among the residues involved in the signaling of the homolog CXCR2, which were extracted from the literature based on the complex structures of the ligand and G protein, our method could detect more than half of the essential residues involved in G protein signaling, including those spanning the fifth and sixth transmembrane helices in the intracellular region, despite the lack of information regarding the interaction with G protein in our CXCR4 models.
url https://doi.org/10.1038/s41598-021-99019-z
work_keys_str_mv AT yukotsuchiya autoencoderbaseddetectionoftheresiduesinvolvedingproteincoupledreceptorsignaling
AT keitaneishi autoencoderbaseddetectionoftheresiduesinvolvedingproteincoupledreceptorsignaling
AT yasushigeyonezawa autoencoderbaseddetectionoftheresiduesinvolvedingproteincoupledreceptorsignaling
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